1817 Data Architecture Jobs - Page 28

Job Description (Job Summary/Roles & Responsibilities) As a Data Architect, you will be responsible for designing, implementing, and maintaining high-performance database systems. You will work closely with cross-functional teams to develop data solutions that meet business needs and support MMC Tech long-term data strategy. Your expertise in both SQL and NoSQL databases, along with your experience in ETL processes and cloud services, will be crucial in driving our data architecture forward. Key Responsibilities: Design and implement high-performance database configurations using Microsoft SQL Server and MongoDB. Develop and manage ETL processes with SaaS services, data lakes, and data sources such as Dremio and Databricks. Collaborate with reporting and analytics teams to integrate systems like Power BI, Qlik, and Crystal Reports. Provide strategic direction for long-term data strategy and architecture. Understand and implement AWS cloud services related to database management. Identify and implement performance fixes and scalability solutions for existing systems. Troubleshoot and resolve performance issues in database systems. Develop and maintain data schemas while ensuring compliance with ACID rules. Lead hands-on implementation of both SQL Server and MongoDB. Optimize system performance and provide recommendations for improvements. Understand and implement PaaS, SaaS, and IaaS solutions in both on-premises and cloud environments. Manage security, user roles, and access controls within database systems. Provide guidance and direction to teams on data strategy and architecture best practices. Re-engineer existing databases based on load requirements and implement performance improvements. Document database designs, ER diagrams and publish functional domain documentation. Requirements Key Skills: Microsoft SQL Server Expertise: Proficient in writing and optimizing stored procedures, triggers, and complex queries. Strong understanding of indexes and their impact on performance. Ability to analyze and optimize execution plans for query performance. Experience in high-performance schema design using both bottom-up and top-down approaches. Database Design and Performance: Expertise in re-engineering existing databases to enhance performance based on load analysis. Strong understanding of data schema design and ACID principles. Hands-on experience with SQL and NoSQL database implementations, particularly with MongoDB. Good understanding with security best practices and user management in database systems. Cloud and Integration: Good understanding of AWS cloud services related to database management. Experience with PaaS, SaaS, and IaaS concepts in both on-premises and cloud environments. Desired Skills 15-20 years of experience in data architecture, database design, and implementation. Strong experience with ETL processes and data integration using SaaS services. Proficiency in reporting and analytics tools such as Power BI, Qlik, and Crystal Reports. Strategic mindset with the ability to develop and execute long-term data strategies. Excellent communication and leadership skills, with the ability to direct teams effectively. Education & Certifications: B.Tech/M.Tech/MCA

You strive to be an essential member of a diverse team of visionaries dedicated to making a lasting impact. Don t pass up this opportunity to collaborate with some of the brightest minds in the field and deliver best-in-class solutions to the industry. As a Senior Lead Data Architect at JPMorgan Chase within the Consumer and Community Banking Data Technology, you are an integral part of a team that works to develop high-quality data architecture solutions for various software applications, platform and data products. Drive significant business impact and help shape the global target state architecture through your capabilities in multiple data architecture domains. Job responsibilities Represents the data architecture team at technical governance bodies and provides feedback regarding proposed improvements regarding data architecture governance practices Evaluates new and current technologies using existing data architecture standards and frameworks Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Design secure, high-quality, scalable solutions and reviews architecture solutions designed by others Drives data architecture decisions that impact data product & platform design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the data engineering community as an advocate of firmwide data frameworks, tools, and practices in the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Advises junior architects and technologists Required qualifications, capabilities, and skills 7+ years of hands-on practical experience delivering data architecture and system designs, data engineer, testing, and operational stability Advanced knowledge of architecture, applications, and technical processes with considerable in-depth knowledge in data architecture discipline and solutions (e. g. , data modeling, native cloud data services, business intelligence, artificial intelligence, machine learning, data domain driven design, etc. ) Practical cloud based data architecture and deployment experience, preferably AWS Practical SQL development experiences in cloud native relational databases, e. g. Snowflake, Athena, Postgres Ability to deliver various types of data models with multiple deployment targets, e. g. conceptual, logical and physical data models deployed as an operational vs. analytical data stores Advanced in one or more data engineering disciplines, e. g. streaming, ELT, event processing Ability to tackle design and functionality problems independently with little to no oversight Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state data architecture Preferred qualifications, capabilities, and skills Financial services experience, card and banking a big plus Practical experience in modern data processing technologies, e. g. , Kafka streaming, DBT, Spark, Airflow, etc. Practical experience in data mesh and/or data lake Practical experience in machine learning/AI with Python development a big plus Practical experience in graph and semantic technologies, e. g. RDF, LPG, Neo4j, Gremlin Knowledge of architecture assessments frameworks, e. g. Architecture Trade off Analysis You strive to be an essential member of a diverse team of visionaries dedicated to making a lasting impact. Don t pass up this opportunity to collaborate with some of the brightest minds in the field and deliver best-in-class solutions to the industry. As a Senior Lead Data Architect at JPMorgan Chase within the Consumer and Community Banking Data Technology, you are an integral part of a team that works to develop high-quality data architecture solutions for various software applications, platform and data products. Drive significant business impact and help shape the global target state architecture through your capabilities in multiple data architecture domains. Job responsibilities Represents the data architecture team at technical governance bodies and provides feedback regarding proposed improvements regarding data architecture governance practices Evaluates new and current technologies using existing data architecture standards and frameworks Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Design secure, high-quality, scalable solutions and reviews architecture solutions designed by others Drives data architecture decisions that impact data product & platform design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the data engineering community as an advocate of firmwide data frameworks, tools, and practices in the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Advises junior architects and technologists Required qualifications, capabilities, and skills 7+ years of hands-on practical experience delivering data architecture and system designs, data engineer, testing, and operational stability Advanced knowledge of architecture, applications, and technical processes with considerable in-depth knowledge in data architecture discipline and solutions (e. g. , data modeling, native cloud data services, business intelligence, artificial intelligence, machine learning, data domain driven design, etc. ) Practical cloud based data architecture and deployment experience, preferably AWS Practical SQL development experiences in cloud native relational databases, e. g. Snowflake, Athena, Postgres Ability to deliver various types of data models with multiple deployment targets, e. g. conceptual, logical and physical data models deployed as an operational vs. analytical data stores Advanced in one or more data engineering disciplines, e. g. streaming, ELT, event processing Ability to tackle design and functionality problems independently with little to no oversight Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state data architecture Preferred qualifications, capabilities, and skills Financial services experience, card and banking a big plus Practical experience in modern data processing technologies, e. g. , Kafka streaming, DBT, Spark, Airflow, etc. Practical experience in data mesh and/or data lake Practical experience in machine learning/AI with Python development a big plus Practical experience in graph and semantic technologies, e. g. RDF, LPG, Neo4j, Gremlin Knowledge of architecture assessments frameworks, e. g. Architecture Trade off Analysis

About the Role: We are looking for an Associate Architect with atleast 9+ years of experience to help scale andmodernize Myntra's data platform The ideal candidate will have a strong background inbuilding scalable data platforms using a combination of open-source technologies andenterprise solutions The role demands deep technical expertise in data ingestion, processing, serving, andgovernance, with a strategic mindset to scale the platform 10x to meet the ever-growing dataneeds across the organization This is a high-impact role requiring innovation, engineering excellence and system stability,with an opportunity to contribute to OSS projects and build data products leveragingavailable data assets Key Responsibilities: Design and scale Myntra's data platform to support growing data needs acrossanalytics, ML, and reporting Architect and optimize streaming data ingestion pipelines using Debezium, Kafka(Confluent), Databricks Spark and Flink Lead improvements in data processing and serving layers, leveraging DatabricksSpark, Trino, and Superset Good understanding of open table formats like Delta and Iceberg Scale data quality frameworks to ensure data accuracy and reliability Build data lineage tracking solutions for governance, access control, and compliance Collaborate with engineering, analytics, and business teams to identify opportunitiesand build / enhance self-serve data platforms Improve system stability, monitoring, and observability to ensure high availability ofthe platform Work with open-source communities and contribute to OSS projects aligned withMyntras tech stack Implement cost-efficient, scalable architectures for handling 10B+ daily events in acloud environment Qualifications: Education: Bachelor's or Masters degree in Computer Science, Information Systems, or arelated field. Experience: 9+ years of experience in building large-scale data platforms Expertise in big data architectures using Databricks, Trino, and Debezium Strong experience with streaming platforms, including Confluent Kafka Experience in data ingestion, storage, processing, and serving in a cloud-basedenvironment Hands-on experience implementing data quality checks using Great Expectations Deep understanding of data lineage, metadata management, and governancepractices Strong knowledge of query optimization, cost efficiency, and scaling architectures Familiarity with OSS contributions and keeping up with industry trends in dataengineering Soft Skills: Strong analytical and problem-solving skills with a pragmatic approach to technicalchallenges Excellent communication and collaboration skills to work effectively withcross-functional teams Ability to lead large-scale projects in a fast-paced, dynamic environment Passion for continuous learning, open-source collaboration, and buildingbest-in-class data products

Role Overview: We are looking for a data-driven and curious Analyst Internto join the Storefront Team. You will work closely with product managers,designers, engineers, and marketing teams to analyze platform data, buildperformance dashboards, derive insights, and contribute to optimizationexperiments across the customer funnel. Key Responsibilities: Analyze customer behavior across key Storefront surfaces like homepage, PLP, PDP and navigation. Create and maintain dashboards to track KPIs such as click-through rate (CTR),conversion rate, engagement time, and bounce rate. Partner with product and design teams to measure A/B test performance and interpret results. Conduct root cause analysis for performance dips or changes in user patterns. Identify growth opportunities and generate hypotheses for UX, content, or merchandising enhancements. Prepare weekly reports and business review decks for leadership consumption. Qualifications: Pursuing or recently completed a Bachelors or Masters degree in Engineering, Statistics, Mathematics, Economics, or related fields. Strong proficiency in SQL and Excel; familiarity with data visualization tools like Tableau/PowerBI preferred. Exposure to Python/R for data analysis is a plus. Excellent analytical and problem-solving skills with attention to detail. Ability to work in a fast-paced, collaborative environment.

About Position: Familiarity with Azure cloud platform. Proficiency in data modeling tools (e.g., Erwin, IBM Info Sphere Data Architect), database management systems (e.g., SQL Server, Oracle, MySQL), and ETL tools. Role: Data Modeller Location: Pune, Bangalore Experience: 10- 14 Job Type: Full Time Employment What You'll Do: Data Architecture Design: Develop and maintain data architecture strategies and frameworks, including data models, data flow diagrams, and data integration processes to support business objectives. Data Modeling: Create and maintain logical and physical data models, ensuring they align with business requirements and data governance standards. Database Design: Design and optimize database schemas, ensuring performance, scalability, and security are considered in database design and implementation. Data Integration: Oversee the integration of data from various sources, including data warehouses, data lakes, and third-party applications, to ensure a unified and accurate data environment. Stakeholder Collaboration: Work closely with business stakeholders, data engineers, and analysts to gather requirements, understand data needs, and translate them into technical specifications. Data Governance: Implement data governance practices to ensure data quality, consistency, and compliance with industry regulations and company policies. Performance Optimization: Monitor and optimize the performance of data systems, identifying and resolving issues related to data quality, access, and integration. Documentation: Maintain comprehensive documentation of data architecture, data models, and integration processes to support knowledge sharing and future development. Expertise You'll Bring: Data Architecture Design: Develop and maintain data architecture strategies and frameworks, including data models, data flow diagrams, and data integration processes to support business objectives. Data Modeling: Create and maintain logical and physical data models, ensuring they align with business requirements and data governance standards. Database Design: Design and optimize database schemas, ensuring performance, scalability, and security are considered in database design and implementation. Data Integration: Oversee the integration of data from various sources, including data warehouses, data lakes, and third-party applications, to ensure a unified and accurate data environment. Stakeholder Collaboration: Work closely with business stakeholders, data engineers, and analysts to gather requirements, understand data needs, and translate them into technical specifications. Data Governance: Implement data governance practices to ensure data quality, consistency, and compliance with industry regulations and company policies. Performance Optimization: Monitor and optimize the performance of data systems, identifying and resolving issues related to data quality, access, and integration. Documentation: Maintain comprehensive documentation of data architecture, data models, and integration processes to support knowledge sharing and future development. Experience: 10-14 years of experience in data architecture, data modeling, and database design, with a strong understanding of data integration and management. Technical Skills: Must have - Familiarity with Azure cloud platform. Proficiency in data modeling tools (e.g., Erwin, IBM InfoSphere Data Architect), database management systems (e.g., SQL Server, Oracle, MySQL), and ETL tools. Analytical Skills: Strong analytical and problem-solving skills, with the ability to translate complex business requirements into effective data solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to present technical information to non-technical stakeholders and collaborate effectively with cross-functional teams. Attention to Detail: Detail-oriented with a strong focus on data accuracy, consistency, and quality. Experience with data warehousing concepts and technologies Understanding of data privacy and security best practices. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry's best Lets' unleash your full potential at Persistent "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

Duration: 3-6 months Team: Storefront (Product & Experience) About Udaan 2.0 Udaan is Myntras initiative specifically designed to offer a career launchpad to people with disabilities. It is a six month paid internship that ensures a conducive environment facilitating a smooth transition to work. With structured on-boarding, customized learning and development programs, mentorship opportunities, on the job learning and best in class benefits, we aim to provide an environment that is supportive, so that you can thrive and build your career with us. As a part of our commitment towards diversity and inclusion, through this program, we strive to create a culture where all can belong and bring their experiences and authentic selves to work every day. During your internship with us, you will get the opportunity to work with the best talent in the e-commerce industry and work on projects that match your interest, abilities and could lead to full-time employment with Myntra. Role Overview: We are looking for a data-driven and curious Analyst Internto join the Storefront Team. You will work closely with product managers,designers, engineers, and marketing teams to analyze platform data, buildperformance dashboards, derive insights, and contribute to optimizationexperiments across the customer funnel. Key Responsibilities: Analyze customer behavior across key Storefront surfaces like homepage, PLP, PDP and navigation. Create and maintain dashboards to track KPIs such as click-through rate (CTR),conversion rate, engagement time, and bounce rate. Partner with product and design teams to measure A/B test performance and interpret results. Conduct root cause analysis for performance dips or changes in user patterns. Identify growth opportunities and generate hypotheses for UX, content, or merchandising enhancements. Prepare weekly reports and business review decks for leadership consumption. Qualifications: Pursuing or recently completed a Bachelors or Masters degree in Engineering, Statistics, Mathematics, Economics, or related fields. Strong proficiency in SQL and Excel; familiarity with data visualization tools like Tableau/PowerBI preferred. Exposure to Python/R for data analysis is a plus. Excellent analytical and problem-solving skills with attention to detail. Ability to work in a fast-paced, collaborative environment.

About the Role: We are looking for an Associate Architect with atleast 9+ years of experience to help scale andmodernize Myntra's data platform. The ideal candidate will have a strong background inbuilding scalable data platforms using a combination of open-source technologies andenterprise solutions.The role demands deep technical expertise in data ingestion, processing, serving, andgovernance, with a strategic mindset to scale the platform 10x to meet the ever-growing dataneeds across the organization.This is a high-impact role requiring innovation, engineering excellence and system stability,with an opportunity to contribute to OSS projects and build data products leveragingavailable data assets. Key Responsibilities: Design and scale Myntra's data platform to support growing data needs acrossanalytics, ML, and reporting. Architect and optimize streaming data ingestion pipelines using Debezium, Kafka(Confluent), Databricks Spark and Flink. Lead improvements in data processing and serving layers, leveraging DatabricksSpark, Trino, and Superset. Good understanding of open table formats like Delta and Iceberg. Scale data quality frameworks to ensure data accuracy and reliability. Build data lineage tracking solutions for governance, access control, and compliance. Collaborate with engineering, analytics, and business teams to identify opportunitiesand build / enhance self-serve data platforms. Improve system stability, monitoring, and observability to ensure high availability ofthe platform. Work with open-source communities and contribute to OSS projects aligned withMyntras tech stack. Implement cost-efficient, scalable architectures for handling 10B+ daily events in acloud environment. Qualifications: Education: Bachelor's or Masters degree in Computer Science, Information Systems, or arelated field. Experience: 9+ years of experience in building large-scale data platforms. Expertise in big data architectures using Databricks, Trino, and Debezium. Strong experience with streaming platforms, including Confluent Kafka. Experience in data ingestion, storage, processing, and serving in a cloud-basedenvironment. Hands-on experience implementing data quality checks using Great Expectations. Deep understanding of data lineage, metadata management, and governancepractices. Strong knowledge of query optimization, cost efficiency, and scaling architectures. Familiarity with OSS contributions and keeping up with industry trends in dataengineering.Soft Skills: Strong analytical and problem-solving skills with a pragmatic approach to technicalchallenges. Excellent communication and collaboration skills to work effectively withcross-functional teams.Ability to lead large-scale projects in a fast-paced, dynamic environment. Passion for continuous learning, open-source collaboration, and buildingbest-in-class data products.

About the Role: We are looking for an Associate Architect with atleast 9+ years of experience to help scale andmodernize Myntra's data platform The ideal candidate will have a strong background inbuilding scalable data platforms using a combination of open-source technologies andenterprise solutions The role demands deep technical expertise in data ingestion, processing, serving, andgovernance, with a strategic mindset to scale the platform 10x to meet the ever-growing dataneeds across the organization This is a high-impact role requiring innovation, engineering excellence and system stability,with an opportunity to contribute to OSS projects and build data products leveragingavailable data assets Key Responsibilities: Design and scale Myntra's data platform to support growing data needs acrossanalytics, ML, and reporting Architect and optimize streaming data ingestion pipelines using Debezium, Kafka(Confluent), Databricks Spark and Flink Lead improvements in data processing and serving layers, leveraging DatabricksSpark, Trino, and Superset Good understanding of open table formats like Delta and Iceberg Scale data quality frameworks to ensure data accuracy and reliability Build data lineage tracking solutions for governance, access control, and compliance Collaborate with engineering, analytics, and business teams to identify opportunitiesand build / enhance self-serve data platforms Improve system stability, monitoring, and observability to ensure high availability ofthe platform Work with open-source communities and contribute to OSS projects aligned withMyntras tech stack Implement cost-efficient, scalable architectures for handling 10B+ daily events in acloud environment Education: Bachelor's or Masters degree in Computer Science, Information Systems, or arelated field. Experience: 9+ years of experience in building large-scale data platforms Expertise in big data architectures using Databricks, Trino, and Debezium Strong experience with streaming platforms, including Confluent Kafka Experience in data ingestion, storage, processing, and serving in a cloud-basedenvironment Hands-on experience implementing data quality checks using Great Expectations Deep understanding of data lineage, metadata management, and governancepractices Strong knowledge of query optimization, cost efficiency, and scaling architectures Familiarity with OSS contributions and keeping up with industry trends in dataengineering Soft Skills: Strong analytical and problem-solving skills with a pragmatic approach to technicalchallenges Excellent communication and collaboration skills to work effectively withcross-functional teams Ability to lead large-scale projects in a fast-paced, dynamic environment Passion for continuous learning, open-source collaboration, and buildingbest-in-class data products

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will also participate in testing and debugging processes to deliver high-quality applications that meet user expectations and business goals. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application specifications and user guides.- Engage in continuous learning to stay updated with the latest technologies and best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud computing platforms and services.- Familiarity with programming languages such as Python or Scala.- Ability to work with data visualization tools to present insights effectively. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also engage in problem-solving discussions with your team, providing guidance and support to ensure successful project outcomes. Additionally, you will monitor project progress and make necessary adjustments to keep everything on track, fostering a collaborative environment that encourages innovation and efficiency. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior team members to support their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud computing platforms and services.- Familiarity with data governance and compliance standards.- Ability to work with large datasets and perform data analysis. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work seamlessly together to support the organization's data needs and objectives. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals.- Accountable and responsible for team outcome and delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance frameworks and compliance standards.- Profound in Databricks and data transformations. Led teams before. Did conceptual work as well.- Ability to troubleshoot and optimize data workflows for performance. Additional Information:- The candidate should have minimum 12 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of projects by leveraging your expertise in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud computing platforms and services.- Familiarity with programming languages such as Python or Scala.- Knowledge of data governance and security best practices. Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data platform's capabilities. You will be actively involved in problem-solving and contributing innovative ideas to improve the overall data architecture, ensuring that the platform meets the evolving needs of the organization and its stakeholders. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Engage in continuous learning to stay updated with the latest trends and technologies in data platforms.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance and management frameworks.- Ability to work with large datasets and perform data analysis. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Microsoft Power Business Intelligence (BI), Microsoft Azure DatabricksMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work seamlessly together to support the organization's data needs and objectives. Your role will require you to analyze requirements, propose solutions, and contribute to the continuous improvement of the data platform, making it a dynamic and engaging work environment. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Microsoft Power Business Intelligence (BI), Microsoft Azure Databricks.- Strong understanding of data integration techniques and best practices.- Experience with data modeling and database design.- Familiarity with cloud-based data solutions and architectures. Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work seamlessly together to support the organization's data needs and objectives. Your role will require you to analyze requirements, propose solutions, and contribute to the overall strategy of the data platform, making it a dynamic and impactful position within the team. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance frameworks and compliance standards.- Ability to work with large datasets and perform data analysis.- Profound in Databricks, delivered on a project before. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also be responsible for ensuring that the data models are aligned with best practices and meet the requirements of the organization, facilitating smooth data integration and accessibility for users across the company. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training sessions for junior team members to enhance their understanding of data modeling.- Continuously evaluate and improve data modeling processes to increase efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data modeling concepts and techniques.- Experience with ETL processes and data integration.- Familiarity with data governance and data quality principles.- Ability to work with various data visualization tools to present data models effectively. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are aligned with business objectives and user needs, while fostering a collaborative environment that encourages innovation and efficiency. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data modeling and ETL processes.- Experience with cloud-based data solutions and architecture.- Familiarity with SQL and data querying techniques.- Ability to troubleshoot and optimize data warehouse performance. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Cloud Data Architecture Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : Bachelor of Engineering in Electronics or any related stream Summary :As a Software Development Engineer, you will engage in a dynamic environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day will involve collaborating with team members to perform maintenance and enhancements, ensuring that the applications meet the evolving needs of users while maintaining high standards of quality and performance. You will also be responsible for troubleshooting issues and implementing solutions that enhance the functionality and efficiency of the applications. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to foster their professional growth and development.- Continuously evaluate and improve development processes to enhance team productivity. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Data Architecture.- Strong understanding of cloud computing principles and architecture.- Experience with data modeling and database design.- Familiarity with cloud service providers such as AWS, Azure, or Google Cloud.- Knowledge of application development frameworks and methodologies. Additional Information:- The candidate should have minimum 7.5 years of experience in Cloud Data Architecture.- This position is based at our Hyderabad office.- A 15 years full time education is required (Bachelor of Engineering in Electronics, or any related stream). Qualification Bachelor of Engineering in Electronics or any related stream

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of the projects you are involved in. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of milestones. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud computing platforms and services.- Familiarity with programming languages such as Python or Scala.- Ability to work with large datasets and perform data analysis. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive successful project outcomes. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring adherence to best practices in application development. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Monitor project progress and implement necessary adjustments to meet deadlines and quality standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud computing platforms and services.- Familiarity with data governance and compliance standards.- Ability to analyze and optimize application performance. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Informatica Data Quality Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with team members to develop innovative solutions and ensure seamless application functionality. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Develop and implement Informatica Data Quality solutions.- Collaborate with cross-functional teams to analyze and address data quality issues.- Create and maintain documentation for data quality processes.- Participate in data quality improvement initiatives.- Assist in training junior professionals in data quality best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica Data Quality.- Strong understanding of data quality principles.- Experience with ETL processes and data integration.- Knowledge of data profiling and cleansing techniques.- Familiarity with data governance and metadata management. Additional Information:- The candidate should have a minimum of 3 years of experience in Informatica Data Quality.- This position is based at our Kolkata office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data & AI Strategy Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiencies. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Lead the AI delivery and responsible for successful value delivery. Roles & Responsibilities:- AI/Gen AI Architecture patterns, Agentic Delivery Lifecycle, Method 1- AI/Agentic AI, Accentures solutioning process, Agile Delivery- AI & Gen AI architecture competency (RAG, agent orchestration, model serving patterns)- Experience in data management, data architecture- Decent engineering background and should have executed Data & AI programs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data & AI Strategy- Strong understanding of Enterprise Data Strategy and aligning data initiatives with digital transformation goals- Hands-on expertise in Data Mesh or Data Fabric architecture and managing Data-as-a-Product across decentralized domains- Familiarity with Generative AI and Agentic Systems, and preparing data pipelines that support AI/ML use cases (e.g., RAG, fine-tuning, prompt engineering)- Strong knowledge of Semantic Layers- Understanding of Data Privacy, Confidentiality- Demonstrated experience in designing Enterprise Data Architectures, including lakehouse, warehouse, and federated models- Capability to define, build, and manage scalable Data Products aligned with business value and user needs- Experience in orchestrating Data Delivery & Consumption models, enabling self-service analytics and reusable data assets across business units- Experience leading large scale software programs with delivery accountability- Agile / Scrum for iterative value delivery and release planning- Strong stakeholder & client management- Experience running multi disciplinary teams (engineering, DevOps, QA) across geographies- Budget & KPI ownership:tracking value realization, burn up charts, and delivery metrics- Experience working with industry-specific data models (e.g., in Life Sciences, Financial Services, or Manufacturing)- Experiene on design and implementation of Enterprise Knowledge Graphs- Understanding of Zero Trust architectures and confidential computing techniques for secure data access.- Familiarity with solutioning / proposal processes (estimates, SOWs, win-themes)- Expertise scaling programs on Azure, AWS, or GCP and managing GPU/PTU capacity- Experience working on NLP/ML/AI program Additional Information:- The candidate should have minimum 18 years of experience in Data & AI Strategy.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : AWS Analytics Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business needs and technical specifications. You will collaborate with various teams to ensure that data flows seamlessly across the organization, contributing to the overall efficiency and effectiveness of data management practices. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Develop and maintain documentation related to data architecture and design. Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Analytics.- Strong understanding of data modeling techniques and best practices.- Experience with data integration tools and methodologies.- Familiarity with cloud data storage solutions and architectures.- Ability to analyze and optimize data workflows for performance. Additional Information:- The candidate should have minimum 5 years of experience in AWS Analytics.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Scala Good to have skills : NoSQLMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data architecture, ensuring that the solutions you develop are efficient and scalable. You will also monitor and optimize existing data processes to enhance performance and reliability, making data accessible and actionable for stakeholders across the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with data scientists and analysts to understand data needs and deliver appropriate solutions.- Design and implement robust data pipelines that ensure the integrity and availability of data. Professional & Technical Skills: - Must To Have Skills: Proficiency in Scala.- Good To Have Skills: Experience with NoSQL.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and frameworks.- Familiarity with cloud-based data solutions and services. Additional Information:- The candidate should have minimum 2 years of experience in Scala.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : SAP BW/4HANA Data Modeling & Development Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. A typical day involves collaborating with various stakeholders to gather insights, analyzing user needs, and translating them into functional specifications. You will engage in discussions to refine application designs, ensuring they align with business objectives while maintaining a focus on user experience and efficiency. Your role will also include reviewing existing applications for potential improvements and working closely with development teams to implement solutions that enhance overall performance and usability. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BW/4HANA.- Strong understanding of data modeling and ETL processes.- Experience with reporting tools and dashboard creation.- Familiarity with SAP HANA and its integration with BW.- Ability to troubleshoot and optimize existing applications. Additional Information:- The candidate should have minimum 5 years of experience in SAP BW/4HANA.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education