77 Snowflake Db Jobs

Role : Snowflake DBA Snowflake DBA EXP is must Good to have -Linux and Unix Azure , Aws, Experience- 3 +yrs Rotational shift Location: Gurugram/ Pune is preferred. Shift : 1 week rotational shift Excellent Communication Skills NP: Immediate Joiners to 15 days ( who is currently serving notice period that candidates only apply) Interested Candidates Share Resume at dipti.bhaisare@in.experis.com

seeking an experienced Snowflake Developer to design, develop, and optimize data solutions on the Snowflake cloud data platform. The ideal candidate will have strong SQL skills, experience with ETL/ELT processes, and a deep understanding of cloud data warehousing concepts. Key Responsibilities Develop and maintain scalable data pipelines and workflows using Snowflake. Design and implement complex SQL queries, stored procedures, and views. Optimize Snowflake performance including query tuning and resource management. Collaborate with data engineers, analysts, and business teams to understand data requirements. Implement data security and governance best practices within Snowflake. Integrate Snowflake with various ETL tools and data sources. Monitor and troubleshoot data pipelines and Snowflake environments. Required Skills and Qualifications 3+ years of experience working with Snowflake or similar cloud data warehouses (Redshift, BigQuery). Expertise in writing advanced SQL queries, stored procedures, and scripts. Hands-on experience with ETL/ELT tools such as Talend, Informatica, Matillion, dbt, or Apache Airflow. Familiarity with cloud platforms like AWS, Azure, or GCP. Knowledge of data modeling, data warehousing concepts, and performance tuning. Strong analytical and problem-solving skills. Experience with version control systems like Git. Preferred (Nice to Have) Experience with data visualization tools like Tableau, Power BI, or Looker. Knowledge of scripting languages such as Python or JavaScript. Understanding of DevOps and CI/CD pipelines for data engineering.

Roles & Responsibilities: Analyze requirements: Collaborate with stakeholders to scrutinize requirements for new software applications or enhancements, guaranteeing that developed software fulfills customer needs. Design software solutions: Contribute to crafting detailed design specifications for data models, schemas, views, and stored procedures using Snowflake features such as time travel, zero copy cloning, and secure data sharing based on gathered requirements, steering the development process to ensure the resulting software meets functional and technical demands. Develop and deploy scalable software: Write clean, maintainable, and well-documented data pipelines using Snowflake SQL, Snowpipe, and other tools to ingest, transform, and deliver data from various sources, leveraging your expertise to ensure scalability, complexity, efficiency and lead deployment activities of that code in multiple environments. Integrate software components: Seamlessly integrate software components into a fully functional software system, ensuring compatibility and interoperability with existing systems for smooth communication and data exchange. Perform unit testing: Conduct thorough unit testing of developed queries and components, ensuring data quality and accuracy by implementing data validation, testing, and monitoring frameworks and tools adhering to quality standards and expected performance levels. Debug and troubleshoot: Skillfully debug and troubleshoot software applications, swiftly identifying and resolving issues encountered during development or deployment to ensure uninterrupted operation and minimal downtime for end-users. Provide technical support: Offer expert technical support and guidance to end-users by applying Snowflake best practices such as partitioning, clustering, caching, and compression, empowering them to utilize the software effectively and troubleshoot any encountered issues. Stay updated with technology: Remain abreast of emerging technologies, trends, and best practices in Snowflake and data domain, integrating relevant advancements into our software solutions. Collaborate with team: Foster effective communication and coordination throughout the software development lifecycle by collaborating with IT team members, data engineers, project managers, and end-users, ensuring a collaborative work environment and successful project delivery. Mentor and lead junior developers. Document processes: Document processes, procedures, and technical specifications related to software development and deployment, facilitating knowledge sharing within the team and streamlining future development efforts. Experience Requirement: 8-14 years of experience with software development tools, including integrated development environments (IDEs), version control systems (e.g., Git), and issue tracking systems (e.g., Jira), DevOps principles and CI/CD pipelines. Experience providing technical support and guidance to end-users during the implementation and deployment of software applications. Strong analytical thinking skills to understand complex requirements and design software solutions accordingly. Ability to read and understand other developer's code. Proficiency in industry standard testing methodologies and debugging techniques to ensure software quality and identify and resolve issues. Ability to document processes, procedures, and technical specifications related to software development and deployments.

Role & responsibilities Job Title: Developer Work Location: Hyderabad,TG and Bangalore,KA Skill Required: Utilities - Digital : Snowflake Experience Range in Required Skills: 4-6yrs Job Description: Snowflake Essential Skills: Snowflake Desirable Skills: Snowflake

Job Summary Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications. Role: Security Engineer / Analyst Industry Type: IT Services & Consulting Department: IT & Information Security Employment Type: Full Time, Permanent Role Category: IT Security

Key Responsibilities: Lead the end-to-end Snowflake platform implementation , including architecture, design, data modeling, and governance. Oversee the migration of data and pipelines from legacy platforms to Snowflake, ensuring quality, reliability, and business continuity. Design and optimize Snowflake-specific data models , including use of clustering keys, materialized views, Streams, and Tasks. Build and manage scalable ELT/ETL pipelines using modern tools and best practices. Define and implement standards for Snowflake development , testing, and deployment, including CI/CD automation. Collaborate with cross-functional teams including data engineering, analytics, DevOps, and business stakeholders. Establish and enforce data security , privacy, and governance policies using Snowflakes native capabilities. Monitor and tune system performance and cost efficiency through appropriate warehouse sizing and usage patterns. Lead code reviews, technical mentoring, and documentation for Snowflake-related processes. Required Snowflake Expertise: Snowflake Architecture – Deep understanding of virtual warehouses, data sharing, multi-cluster, zero-copy cloning. Ability to enhance architecture and implement solutions as per the architecture. Performance Optimization – Proficient in tuning queries, clustering, caching, and workload management. Data Engineering – Experience with processing batch, real time using multiple Snowflake features like Snowpipe, Streams & Tasks, stored procedures, and data ingestion patterns. Data Security & Governance – Strong experience with RBAC, dynamic data masking, row-level security, and tagging. Experience enabling such capabilities in Snowflake and at least one enterprise product solution. Advanced SQL – Expertise writing, analyzing, performance optimization of complex SQL queries, transformations, semi-structured data handling (JSON, XML). Cloud Integration – Experience with at least one of the major cloud platforms (AWS/GCP/Azure) and services like S3, Lambda, Step Functions, etc.

Greetings from TCS Recruitment Team! Role: SNOWFLAKE LEAD/ SNOWFLAKE SOLUTION ARCHITECT/ SNOWFLAKE ML ENGINEER Years of experience: 7 to 18 Years Walk-In-Drive Location: Kochi Walk-in-Location Details: Tata Consultancy Services TCS Centre SEZ Unit, Infopark Kochi Phase 1, Infopark Kochi P.O, Kakkanad, Kochi - 682042, Kerala India Drive Time: 9 am to 1:00 PM Date: 21-Jun-25 Must Have Deep knowledge of Snowflakes architecture, SnowSQL, Snowpipe, Streams, Tasks, Stored Procedures. Strong understanding of cloud platforms (AWS, Azure, GCP). Proficiency in SQL, Python, or scripting languages for data operations. Experience with ETL/ELT tools, data integration, and performance tuning. Familiarity with data security, governance, and compliance standards (GDPR, HIPAA, SOC 2).

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI

Job Title : Data Engineer / Data Modeler. Location : Remote (India). Employment Type : Contract (Remote). Experience Required : 7+ Years. Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Job Title : Data Engineer / Data Modeler. Location : Remote (India). Employment Type : Contract (Remote). Experience Required : 7+ Years. Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

About the job : Role : Senior Databricks Engineer / Databricks Technical Lead/ Data Architect Experience : 8-15 years Location : Bangalore, Chennai, Delhi, Pune Primary Roles And Responsibilities : - Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack - Ability to provide solutions that are forward-thinking in data engineering and analytics space - Collaborate with DW/BI leads to understand new ETL pipeline development requirements. - Triage issues to find gaps in existing pipelines and fix the issues - Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs - Help joiner team members to resolve issues and technical challenges. - Drive technical discussion with client architect and team members - Orchestrate the data pipelines in scheduler via Airflow Skills And Qualifications : - Bachelor's and/or masters degree in computer science or equivalent experience. - Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects. - Deep understanding of Star and Snowflake dimensional modelling. - Strong knowledge of Data Management principles - Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture - Should have hands-on experience in SQL, Python and Spark (PySpark) - Candidate must have experience in AWS/ Azure stack - Desirable to have ETL with batch and streaming (Kinesis). - Experience in building ETL / data warehouse transformation processes - Experience with Apache Kafka for use with streaming data / event-based data - Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala) - Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) - Experience working with structured and unstructured data including imaging & geospatial data. - Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT. - Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot - Databricks Certified Data Engineer Associate/Professional Certification (Desirable). - Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects - Should have experience working in Agile methodology - Strong verbal and written communication skills. - Strong analytical and problem-solving skills with a high attention to detail. Location - Bangalore, Chennai, Delhi / NCR, Pune

Job Title : Data Engineer / Data Modeler. Location : Remote (India). Employment Type : Contract (Remote). Experience Required : 7+ Years. Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI.

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI.

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI.

Job Title : Data Engineer / Data Modeler. Location : Remote (India). Employment Type : Contract (Remote). Experience Required : 7+ Years. Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Job Title : Data Engineer / Data Modeler. Location : Remote (India). Employment Type : Contract (Remote). Experience Required : 7+ Years. Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Employment Type : Contract (Remote). Experience Required : 7+ Years. Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Employment Type : Contract (Remote). Experience Required : 7+ Years. Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI

Key Responsibilities : As an Enterprise Data Architect, you will : - Lead Data Architecture : Design, develop, and implement comprehensive enterprise data architectures, primarily leveraging Azure and Snowflake platforms. - Data Transformation & ETL : Oversee and guide complex data transformation and ETL processes for large and diverse datasets, ensuring data integrity, quality, and performance. - Customer-Centric Data Design : Specialize in designing and optimizing customer-centric datasets from various sources, including CRM, Call Center, Marketing, Offline, and Point of Sale systems. - Data Modeling : Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models, to support analytical and operational needs. - Query Optimization : Develop, optimize, and troubleshoot complex SQL and NoSQL queries to ensure efficient data retrieval and manipulation. - Data Warehouse Management : Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions. - Tool Evaluation & Implementation : Evaluate, recommend, and implement industry-leading ETL tools such as Informatica and Unifi, ensuring best practices are followed. - Business Requirements & Analysis : Lead efforts in business requirements definition and management, structured analysis, process design, and use case documentation to translate business needs into technical specifications. - Reporting & Analytics Support : Collaborate with reporting teams, providing architectural guidance and support for reporting technologies like Tableau and PowerBI. - Software Development Practices : Apply professional software development principles and best practices to data solution delivery. - Stakeholder Collaboration : Interface effectively with sales teams and directly engage with customers to understand their data challenges and lead them to successful outcomes. - Project Management & Multi-tasking : Demonstrate exceptional organizational skills, with the ability to manage and prioritize multiple simultaneous customer projects effectively. - Strategic Thinking & Leadership : Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement in data architecture. Position Requirements : of strong experience with data transformation & ETL on large data sets. - Experience with designing customer-centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale, etc.). - 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). - 5+ years of complex SQL or NoSQL experience. - Extensive experience in advanced Data Warehouse concepts. - Proven experience with industry ETL tools (i.e., Informatica, Unifi). - Solid experience with Business Requirements definition and management, structured analysis, process design, and use case documentation. - Experience with Reporting Technologies (i.e., Tableau, PowerBI). - Demonstrated experience in professional software development. - Exceptional organizational skills and ability to multi-task simultaneous different customer projects. - Strong verbal & written communication skills to interface with sales teams and lead customers to successful outcomes. - Must be self-managed, proactive, and customer-focused. Technical Skills : - Cloud Platforms : Microsoft Azure - Data Warehousing : Snowflake - ETL Methodologies : Extensive experience in ETL processes and tools - Data Transformation : Large-scale data transformation - Data Modeling : Relational, Dimensional, Columnar, Big Data - Query Languages : Complex SQL, NoSQL - ETL Tools : Informatica, Unifi (or similar enterprise-grade tools) - Reporting & BI : Tableau, PowerBI