19 Alation Jobs

Key Responsibilities: Lead the configuration and implementation of the Collibra Data Intelligence Platform to support data governance, data cataloging, and data quality initiatives. Collaborate with data stewards, business users, and technical teams to gather requirements and translate them into Collibra workflows and configurations. Define and manage data domains, assets, glossaries, business rules, and operating models in Collibra. Develop and maintain Collibra workflows using BPMN and support custom integrations via Collibra Connect or APIs. Perform user onboarding, role/permission management, and training sessions. Integrate Collibra with upstream/downstream systems such as data warehouses, ETL tools, BI platforms, and metadata sources. Support the ongoing maintenance, troubleshooting, and upgrades of the Collibra platform. Ensure alignment of Collibra implementation with enterprise data governance policies and compliance requirements (GDPR, CCPA, etc.). Provide documentation and best practices related to Collibra configuration, taxonomy, and workflows. Track and report key metrics on data governance maturity and platform usage. Qualifications and Requirements: Bachelor's degree in Information Systems, Computer Science, Data Management, or related field. 3+ years of hands-on experience working with Collibra Data Intelligence Platform . Strong understanding of data governance principles, metadata management, data lineage, and data stewardship. Experience with Collibra operating models , asset modeling, and workflow development using BPMN. Familiarity with Collibra Connect , REST APIs, and integration frameworks. Experience integrating Collibra with other tools like Informatica, Alation, Tableau, Snowflake, or cloud data platforms. Strong communication and stakeholder engagement skills. Ability to work independently and in cross-functional teams.

You will have a pivotal role in implementing and embracing the data governance framework at Amgen, which aims to revolutionize the company's data ecosystem and establish Amgen as a pioneer in biopharma innovation. This position will make use of cutting-edge technologies such as Generative AI, Machine Learning, and integrated data. Your expertise in domains, technical knowledge, and business processes will be crucial in providing exceptional support for Amgen's data governance framework. Collaboration with business stakeholders and data analysts will be essential to ensure successful implementation and adoption of the data governance framework. Working closely with the Product Owner and other Business Analysts will be necessary to guarantee operational support and excellence from the team. You will be responsible for the implementation of the data governance and data management framework within a specific domain of expertise, such as Research, Development, or Supply Chain. Operationalizing the Enterprise data governance framework and aligning a broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, master data management, data sharing, communication, and change management will be part of your responsibilities. Collaborating with Enterprise MDM and Reference Data to enforce standards and data reusability will also be key. You will drive cross-functional alignment in your area of expertise to ensure adherence to Data Governance principles and maintain privacy policies and procedures to safeguard sensitive data and ensure compliance. Regular privacy risk assessments and audits will be conducted by you to identify and mitigate potential risks as required. Furthermore, you will be responsible for maintaining documentation on data definitions, data standards, data flows, legacy data structures, common data models, and data harmonization for the assigned domains. Ensuring compliance with data privacy, security, and regulatory policies for the assigned domains, including GDPR, CCPA, and other relevant legislations, will be critical. Together with Technology teams, business functions, and enterprise teams, you will define the specifications shaping the development and implementation of data foundations. Building strong relationships with key business leads and partners to ensure their needs are met will also be part of your role. Your must-have functional skills include technical knowledge of Pharma processes with specialization in a domain, in-depth understanding of data management, data quality, master data management, data stewardship, data protection, and familiarity with data protection laws and regulations. You should have experience in the development life cycle of data products and proficiency in tools like Collibra and Alation. Strong problem-solving skills, excellent communication, and working with data governance frameworks are essential. Experience with data governance councils, Agile software development methodologies, proficiency in data analysis and quality tools, and 3-5 years of experience in data privacy or compliance are good-to-have functional skills. Soft skills required for this role include integrity, adaptability, proactivity, leadership, organization, analytical skills, ability to work effectively with teams, manage multiple priorities, ambition to develop skills and career, build business relationships, understand end-to-end data use and needs, interpersonal skills, initiative, self-motivation, presentation skills, attention to detail, time management, and customer focus. Basic qualifications for this position include any Degree and 9-13 years of experience.,

Join us as a Data Engineer at Barclays, where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions. To be successful as a Data Engineer, you should have experience with hands-on experience in Pyspark and a strong knowledge of Dataframes, RDD, and SparkSQL. You should also have hands-on experience in developing, testing, and maintaining applications on AWS Cloud. A strong hold on AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake formation, Athena) is essential. Additionally, you should be able to design and implement scalable and efficient data transformation/storage solutions using Snowflake. Experience in data ingestion to Snowflake for different storage formats such as Parquet, Iceberg, JSON, CSV, etc., is required. Familiarity with using DBT (Data Build Tool) with Snowflake for ELT pipeline development is necessary. Advanced SQL and PL SQL programming skills are a must. Experience in building reusable components using Snowflake and AWS Tools/Technology is highly valued. Exposure to data governance or lineage tools such as Immuta and Alation is an added advantage. Knowledge of Orchestration tools such as Apache Airflow or Snowflake Tasks is beneficial, and familiarity with Abinitio ETL tool is a plus. Some other highly valued skills may include the ability to engage with stakeholders, elicit requirements/user stories, and translate requirements into ETL components. A good understanding of infrastructure setup and the ability to provide solutions either individually or working with teams is essential. Knowledge of Data Marts and Data Warehousing concepts, along with good analytical and interpersonal skills, is required. Implementing Cloud-based Enterprise data warehouse with multiple data platforms along with Snowflake and NoSQL environment to build data movement strategy is also important. You may be assessed on key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills. The role is based out of Chennai. Purpose of the role: To build and maintain the systems that collect, store, process, and analyze data, such as data pipelines, data warehouses, and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities: - Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete, and consistent data. - Design and implementation of data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. - Development of processing and analysis algorithms fit for the intended data complexity and volumes. - Collaboration with data scientists to build and deploy machine learning models. Analyst Expectations: - Meet the needs of stakeholders/customers through specialist advice and support. - Perform prescribed activities in a timely manner and to a high standard which will impact both the role itself and surrounding roles. - Likely to have responsibility for specific processes within a team. - Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources. - Demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. - Manage own workload, take responsibility for the implementation of systems and processes within own work area and participate in projects broader than the direct team. - Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of closely related teams. - Provide specialist advice and support pertaining to own work area. - Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. - Deliver work and areas of responsibility in line with relevant rules, regulations, and codes of conduct. - Maintain and continually build an understanding of how all teams in the area contribute to the objectives of the broader sub-function, delivering impact on the work of collaborating teams. - Continually develop awareness of the underlying principles and concepts on which the work within the area of responsibility is based, building upon administrative/operational expertise. - Make judgements based on practice and previous experience. - Assess the validity and applicability of previous or similar experiences and evaluate options under circumstances that are not covered by procedures. - Communicate sensitive or difficult information to customers in areas related specifically to customer advice or day-to-day administrative requirements. - Build relationships with stakeholders/customers to identify and address their needs. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

Job Summary: We are seeking an experienced Azure Data Governance Specialist to design, implement, and manage data governance frameworks and infrastructure across Azure-based platforms. The ideal candidate will ensure enterprise data is high-quality, secure, compliant, and aligned with business and regulatory requirements. This role combines deep technical expertise in Azure with a strong understanding of data governance principles, MDM, and data quality management. Key Responsibilities: Data Governance & Compliance: Design and enforce data governance policies, standards, and frameworks aligned with enterprise objectives and compliance requirements (e.g., GDPR, HIPAA). Master Data Management (MDM): Implement and manage MDM strategies and solutions within the Azure ecosystem to ensure consistency, accuracy, and accountability of key business data. Azure Data Architecture: Develop and maintain scalable data architecture on Azure (e.g., Azure Data Lake, Synapse, Purview, Alation, Anomalo) to support governance needs. Tooling & Automation: Deploy and manage Azure-native data governance tools such as Azure Purview, Microsoft Fabric, and Data Factory to classify, catalog, and monitor data assets including third party tools like Alation. Data Quality (DQ): Lead and contribute to Data Quality forums, establish DQ metrics, and integrate DQ checks and dashboards within Azure platforms. Security & Access Management: Collaborate with security teams to implement data security measures, role-based access controls, and data encryption in accordance with Azure best practices. Technical Leadership: Guide teams in best practices for designing data pipelines, metadata management, and lineage tracking with Azure tooling. Continuous Improvement: Drive improvements in data management processes and tooling to enhance governance efficiency and compliance posture. Mentorship & Collaboration: Provide technical mentorship to data engineers and analysts, promoting data stewardship and governance awareness across the organization. Qualifications: Education: Bachelors degree in Computer Science, Information Systems, or a related field. Experience: 8+ years of experience in data infrastructure and governance, with 3+ years focused on Azure data services and tools. Technical Skills: Proficiency with data governance tools: Alation, Purview, Synapse, Data Factory, Azure SQL, etc. Strong understanding of data modeling (conceptual, logical, and physical models). Experience with programming languages such as Python, C#, or Java. In-depth knowledge of SQL and metadata management. Leadership: Proven experience leading or influencing cross-functional teams in data governance and architecture initiatives. Certifications (preferred): Azure Data Engineer Associate, Azure Solutions Architect Expert, or Azure Purview-related certifications.

OCI Data Catalog Oracle Cloud Infrastructure (OCI) Metadata Management Data Lineage Data Classification Data Stewardship Data Governance Cloud Data Integration Oracle Autonomous Database Oracle Object Storage PoC Delivery (Proof of Concept) Cloud Data Management SQL ETL Tools (e.g., Oracle Data Integrator, Informatica, etc.) Data Catalog Tools (e.g., Collibra, Alation, Azure Purview for comparative experience) On-premise to Cloud Integration API Integration (for metadata harvesting)

Data Governance Lead About the Role: We are seeking an experienced Data Governance lead to join our team. In this role, you will be responsible for defining and implementing the data governance strategy. The role involves establishing metadata standards, defining attribute ownership models, ensuring regulatory compliance, and improving data quality and trust across the enterprise. Responsibilities: Define and implement enterprise-wide data governance framework Own the metadata catalog and ensure consistency across business and technical assets Develop and manage KPI registries, data dictionaries, and lineage documentation Collaborate with data stewards and domain owners to establish attribute ownership Lead efforts around data standardization, quality rules, and classification of sensitive data Ensure privacy and compliance (e.g., GDPR, PII, PHI) by enforcing tagging, masking, and access rules Define access control rules (purpose-based views, user roles, sensitivity levels) Oversee governance for data products and federated data domains Support internal audits and external regulatory reviews Coordinate with platform, analytics, security, and compliance teams Qualifications: Bachelor's or Master's degree in Computer Science, or a related technical field 10+ years of experience in data governance roles Experience integrating governance with modern data stacks (e.g.Data bricks, Snowflake) Strong experience in data governance tools (e.g., Alation, Unity Catalog ,Azure Purview,) Proven understanding of metadata management, data lineage, and data quality frameworks Experience in implementing federated governance models and data stewardship programs Knowledge of compliance requirements (GDPR, HIPAA,PII, etc.) Familiarity with data mesh principles and data contract approaches Excellent communication and stakeholder management skills Certification in data governance or management frameworks

As an American Airlines team member in the Tech Hub in Hyderabad, India, you will have the opportunity to be part of a diverse, high-performing team dedicated to technical excellence. Your primary focus will be on delivering unrivaled digital products that drive a more reliable and profitable airline. The Data Domain you'll be working in is centered around managing and leveraging data as a strategic asset, including data management, storage, integration, and governance, with a strong emphasis on Machine Learning, AI, Data Science, and Business Intelligence. In this role, you will work closely with source data application teams and product owners to design, implement, and support analytics solutions that provide valuable insights for better decision-making. You will be responsible for implementing data migration and data engineering solutions using Azure products and services such as Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, and more, as well as traditional data warehouse tools. Your responsibilities will include various aspects of the development lifecycle, such as design, cloud engineering, data modeling, testing, performance tuning, deployments, BI, alerting, and production support. You will collaborate within a team environment and independently to develop technical solutions. As part of a DevOps team, you will have ownership and support for the product you work on, implementing both batch and streaming data pipelines using cloud technologies. To be successful in this role, you should have a Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems, or a related technical discipline, or equivalent experience. You should have at least 1+ years of software solution development experience using agile, DevOps, and data analytics experience using SQL. Experience with cloud development and data lake technologies, particularly in Microsoft Azure, is preferred. Preferred qualifications include additional years of experience in software solution development, data analytics, full-stack development, and specific experience with Azure technologies. Skills in scripting languages like Python, Spark, Unix, SQL, as well as expertise with the Azure Technology stack and various data platforms and BI Analytics tools are highly valued. Certifications such as Azure Development Track and Spark are preferred. Effective communication skills are essential for this role, as you will need to collaborate with team members at all levels within the organization. Physical abilities are also necessary to perform the essential functions of the position safely. American Airlines values inclusion and diversity, providing a supportive environment for all team members to reach their full potential. If you are ready to be part of a dynamic, tech-driven environment where your creativity and strengths are celebrated, join American Airlines in Hyderabad and immerse yourself in the exciting world of technological innovation. Feel free to be yourself and contribute to keeping the largest airline in the world running smoothly as we care for people on life's journey.,

A Day in the Life Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. Medtronic is hiring a Senior Data Governance Engineer. As a Senior engineer, you will be a key member of our Data Governance team, defining scope, assessing current data governance capabilities, building roadmaps to mature data governance capabilities. This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction. Responsibilities may include the following and other duties may be assigned. Data Governance Strategy Development - responsible for the strategic development, architectural definition, and enterprise-wide data governance and data management initiatives supporting the delivery of data as a service Provide Data Governance and Data Management advisory expertise Responsible for the identification and evaluation of metadata platform alternatives, the development of the logical metadata framework architecture, and the definition and implementation of metadata maintenance processes Defining Data Governance operating models, roles, and responsibilities in collaboration with Medtronic requirements Responsible for the assessment and selection of Data Management tools landscape including: data profiling, data quality, metadata, MDM, rules engines, and pattern matching Refine and develop the data-centric approach and methodologies which may include areas such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery Assess current state capabilities, identify gaps versus leading practices, and recommend future state data requirements Identify opportunities for new workflows, third party glossary/metadata tools, database architectures, and third-party pre-existing data models. Work closely with business and technology stakeholders to assist in understanding and documenting data requirements, lineage, and partnering with IT data integration and data warehouse teams to ensure requirements are effectively executed Help define data modeling naming standards, abbreviations, guidelines, and best practices Enhance or design data model review processes based on business requirements Minimum Qualification: At least 5 years of experience developing / structuring an enterprise wide data governance organization and business process (operating models, roles, partner organizations, responsibilities) Hands-on experience with both the business side and IT side implementing or supporting an MDM and/or Data Warehouse and Reporting IT solutions Utilize strong business knowledge of the investment management industry and common data management operations Broad understanding of the role of data management within global markets organizations, information flow, and data governance issues Domain expertise in specific areas of Data Management such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery Note : Immedite or Notice period serving candidates preferred. If interested please share your updated CV on ashwini.ukekar@medtronic.com

Role & responsibilities Job Description: As a Data Governance Architect, you must be able to manage organization-wide data governance activities and will be responsible for improving the quality and managing the protection of sensitive data and information assets. You will be responsible for preparing a Data Catalog strategy to build out a catalog with data and BI objects and onboard a user base to support the curation of metadata, lineage, and documentation for enabling seamless data discovery at an enterprise level, thereby streamlining data intake, and reducing data duplication throughout the organization. You must be result-oriented, self-motivated and can thrive in a fast-paced environment. This role requires you to serve as a point of escalation for governance, data quality and protection issues and will work closely with Business and Functional area leadership to improve the quality and value of core data assets, respond to regulatory protection requirements as well as support the strategic requirements of the department. Primary Roles and Responsibilities: • Looking for a Data Governance expert for the development of a metadata management system solution. Should be able to streamline the curation of metadata with custom scripts to upload available metadata to the API to achieve a deeper understanding of their catalog content and user base using custom dashboards to track adoption. • Responsible for the implementation and oversight of the Companys data management goals, standards, practices, process, and technologies. • Experience in establishing data connections for relevant schemas, defining data stewards role & responsibilities for the scope of the data catalog. • Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the companys principal information assets • To properly onboard the data catalog, you should be able to conduct a data domain team assessment, discover the availability & completeness of each teams metadata, and develop a process for working with and onboarding data domain teams. • Be the point of contact for Data Governance queries, including escalation point for client concerns. • Coordinate the resolution of data integrity gaps by working with the business owners and IT. • Ability to work in an agile environment with an iterative approach to development. Skills and Qualifications: Bachelor's and/or master’s degree in computer science or equivalent experience. Must have total 6+ yrs. of IT experience and 4+ years' experience in Data Cataloging & Data Governance projects. Programming skills (sufficient to write SQL queries to validate test results in DW database). Proficient in SQL, Python, and must have strong understanding of databases and data structures. Experience with Application programming interface (API) development skills, essential in developing & running API scripts across multiple devices, databases, and servers, working with REST, and open API technologies. Proficient in working with Enterprise Data Catalog software like Alation, Collibra etc. Experience with dashboarding of reporting tools (Power BI, Tableau etc.) is a plus. Excellent analytical, problem-solving, communication and interpersonal skills. Ability to set priorities and multi-task in a fast-paced environment. Experience in metadata management - Business Glossary, Lineage, data dictionaries, ETL is essential. Ability to work independently and productively under pressure. Strong organizational skills and decision-making ability

P2 Grade- (3+ to 5 yrs) -> CTC -> 11.50 LPA Max P3 Grade (5 to 8 yrs) CTC -> 21 LPA Max POSITION SUMMARY This role is accountable to develop, expand and optimize Data Management Architecture, Design & Implementation under Singtel Data Platform & Management 1. Design, develop and implement data governance and management solution, data quality, Privacy, protection & associated control technology solutions as per best industry practice. 2. Review, evaluate and implement Data Management standards primarily Data Classification, Data Retention across systems. 3. Design, develop and implement Automated Data Discovery rules to identify presence of PII attributes. 4. Drive development, optimization, testing and tooling to improve overall data control management (Security, Data Privacy, protection, Data Quality) 5. Review, analyze, benchmark, and approve solution design from product companies, internal teams, and vendors. 6. Ensure that proposed solutions are aligned and conformed to the data landscape, big data architecture guidelines and roadmap. KEY RESPONSIBILITIES AND RESULTS 1 Design and implement data management standards like Catalog Management, Data Quality, Data Classification, Data Retention 2 Drive BAU process, testing and tooling to improve data security, privacy, and protection 3 Identify, design, and implement internal process improvements: automating manual processes, control and optimizing data technology service delivery. 4 Implement and support Data Management Technology solution throughout lifecycle like user onboarding, upgrades, fixes, access management etc.. QUALIFICATIONS / EXPERIENCE / KNOWLEDGE REQUIRED Category Essential for this role Education and Qualifications Diploma in Data Analytics, Data Engineering, IT, Computer Science, Software Engineering, or equivalent. Work Experience • Exposure to Data Management and Big Data Concepts Knowledge and experience in Data Management, Data Integration, Data Quality products Technical Skills • Informatica CDGC, Collibra, Alatian Informatica Data Quality, Data Privacy Management Azure Data Bricks

Data Strategy & Data Governance Manager Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network Areas of Work: Data Strategy Level: Manager | Location: Bangalore / Gurgaon / Mumbai / Pune / Chennai / Hyderabad / Kolkata | Years of Exp: 10 to 15 years Explore an Exciting Career at Accenture Do you believe in creating an impactAre you a problem solver who enjoys working on transformative strategies for global clientsAre you passionate about being part of an inclusive, diverse and collaborative culture Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling Data & Analyticsand the data that fuels it allto power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of Data & Analytics potential and development of use cases that can transform business Transforming Businesses: Envisioning and Designing customized, next-generation data and analytics products and services that help clients shift to new business models designed for today's connectedlandscape of disruptive technologies Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing data and analytics products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data & Analytics and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their Data & Analytics problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise-wide Data & Analytics strategy for our clients that includes Data & Analytics Architecture, Data on Cloud, Data Quality, Metadata and Master Data strategy Establish framework for effective Data Governance across multispeed implementations. Define data ownership, standards, policies and associated processes Define a Data & Analytics operating model to manage data across organization . Establish processes around effective data management ensuring Data Quality & Governance standards as well as roles for Data Stewards Benchmark against global research benchmarks and leading industry peers to understand current & recommend Data & Analytics solutions Conduct discovery workshops and design sessions to elicit Data & Analytics opportunities and client pain areas. Develop and Drive Data Capability Maturity Assessment, Data & Analytics Operating Model & Data Governance exercises for clients A fair understanding of data platform strategy for data on cloud migrations, big data technologies, large scale data lake and DW on cloud solutions. Utilize strong expertise & certification in any of the Data & Analytics on Cloud platforms Google, Azure or AWS Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Qualification Your experience counts! MBA from a tier 1 institute 5 7 years of Strategy Consulting experience at a consulting firm 3+ years of experience on projects showcasing skills across these capabilities- Data Capability Maturity Assessment, Data & Analytics Strategy, Data Operating Model & Governance, Data on Cloud Strategy, Data Architecture Strategy At least 2 years of experience on architecting or designing solutions for any two of these domains - Data Quality, Master Data (MDM), Metadata, data lineage, data catalog. Experience in one or more technologies in the data governance space:Collibra, Talend, Informatica, SAP MDG, Stibo, Alteryx, Alation etc. 3+ years of experience in designing end-to-end Enterprise Data & Analytics Strategic Solutions leveraging Cloud & Non-Cloud platforms like AWS, Azure, GCP, AliCloud, Snowflake, Hadoop, Cloudera, Informatica, Snowflake, Palantir Deep Understanding of data supply chain and building value realization framework for data transformations 3+ years of experience leading or managing teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & Analytics strategy recommendations as well as developing POCs Foundational understanding of data privacy is desired Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred:Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains CDMP Certification from DAMA preferred Cloud Data & AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential

ABOUT THE ROLE Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data . This role involves working closely with business stakeholder and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with Data Product Owners, Data Stewards and technology teams to increase the trust and reuse of data across Amgen. Roles & Responsibilities: Responsible for the execution of data governance framework for a given domain of expertise (Research, Development, Supply Chain, etc.). Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) delivers data foundations. Build strong relationship with key business leads and partners to ensure their needs are met. Functional Skills: Must-Have Functional Skills: Technical skills (Advanced SQL, Python etc) with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Excellent problem-solving skills and a committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Soft Skills: Excellent analytical skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ability to build business relationships and understand end-to-end data use and needs. Strong verbal and written communication skills Basic Qualifications: Experience with 5 - 9 years of experience in Business, Engineering, IT or related field

In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour's. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in the integration efforts between Alation and Manta, ensuring seamless data flow and compatibility. Collaborate with cross-functional teams to gather requirements and design solutions that leverage both Alation and Manta platforms effectively.. Develop and maintain data governance processes and standards within Alation, leveraging Manta's data lineage capabilities.. Analyze data lineage and metadata to provide insights into data quality, compliance, and usage patterns Preferred technical and professional experience Lead the evaluation and implementation of new features and updates for both Alation and Manta platforms Ensuring alignment with organizational goals and objectives. Drive continuous improvement initiatives to enhance the efficiency and effectiveness of data management processes, leveraging Alati

Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Research domain of the biopharma lifecycle. Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Research domain of the biopharma lifecycle. General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/ Information Systems experience

Introduction In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities Data Strategy and Planning: Develop and implement data architecture strategies that align with organizational goals and objectives. Collaborate with business stakeholders to understand data requirements and translate them into actionable plans. Data Modeling: Design and implement logical and physical data models to support business needs. Ensure data models are scalable, efficient, and comply with industry best practices. Database Design and Management: Oversee the design and management of databases, selecting appropriate database technologies based on requirements. Optimize database performance and ensure data integrity and security. Data Integration: Define and implement data integration strategies to facilitate seamless flow of information across. Responsibilities: Experience in data architecture and engineering Proven expertise with Snowflake data platform Strong understanding of ETL/ELT processes and data integration Experience with data modeling and data warehousing concepts Familiarity with performance tuning and optimization techniques Excellent problem-solving skills and attention to detail Strong communication and collaboration skills Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise Cloud & Data Architecture: AWS , Snowflake ETL & Data Engineering: AWS Glue, Apache Spark, Step Functions Big Data & Analytics: Athena,Presto, Hadoop Database & Storage: SQL, Snow sql Security & Compliance: IAM, KMS, Data Masking Preferred technical and professional experience Cloud Data Warehousing: Snowflake (Data Modeling, Query Optimization) Data Transformation: DBT (Data Build Tool) for ELT pipeline management Metadata & Data Governance: Alation (Data Catalog, Lineage, Governance

We are Hiring Data Governance Analyst Level 3 for US based IT Company based in Hyderabad. Candidates with experience in Data Governance can apply. Job Title : Data Governance Analyst Level 3 Location : Hyderabad Experience : 7+ Years CTC : 18 LPA - 20 LPA Working shift : Day shift Description: We are seeking a seasoned and detail-focused Senior Data Governance Analyst (Level 3) to support and drive enterprise-wide data governance initiatives . This position will play a crucial role in implementing and managing data governance frameworks , ensuring data quality , and supporting regulatory compliance efforts across business units. The ideal candidate will bring deep expertise in data governance best practices , data quality management , metadata , and compliance standards within the financial services industry . As a senior team member, the analyst will collaborate closely with data stewards , business stakeholders , and technical teams to ensure consistent, accurate, and trusted use of enterprise data. Key Responsibilities: Implement and enhance data governance policies, standards, and processes across the organization Partner with business and technical teams to define and manage data ownership, stewardship , and accountability models Maintain and improve metadata and data lineage documentation using tools such as Collibra , Alation , or similar platforms Monitor key data quality metrics , conduct root cause analysis , and lead issue resolution efforts Ensure compliance with regulatory data requirements (e.g., BCBS 239, GDPR, CCPA ) Facilitate and lead data governance meetings , working groups, and stakeholder communications Support the creation and deployment of data literacy initiatives across the enterprise Document governance practices and develop reports for audits and executive leadership Serve as a subject matter expert in data governance and promote data management best practices across departments Required Skills & Qualifications: 5+ years of experience in Data Governance , Data Quality , or Data Management roles Proven experience in developing and managing data governance frameworks in complex organizational environments Strong understanding of data quality principles , data standards , and issue management workflows Experience with metadata management , data cataloging , and lineage tracking Proficiency with governance tools like Collibra , Alation , or similar platforms Solid grasp of data compliance and regulatory standards in the financial services sector Excellent communication, stakeholder engagement, and documentation skills Strong analytical thinking and problem-solving capabilities Preferred Qualifications: Experience in banking or financial services environments Understanding of enterprise data architecture , Master Data Management (MDM) , and BI/reporting systems Knowledge of data privacy regulations such as GDPR , CCPA , etc. Experience working within Agile project methodologies For further assistance contact/whatsapp : 9354909517 or write to hema@gist.org.in

Job Title: Senior Data Engineer Location: Remote Job Type: Fulltime Experience Level: 7+ years About the Role: We are seeking a highly skilled Senior Data Engineer to join our team in building a modern data platform on AWS. You will play a key role in transitioning from legacy systems to a scalable, cloud-native architecture using technologies like Apache Iceberg, AWS Glue, Redshift, and Atlan for governance. This role requires hands-on experience across both legacy (e.g., Siebel, Talend, Informatica) and modern data stacks. Responsibilities: Design, develop, and optimize data pipelines and ETL/ELT workflows on AWS. Migrate legacy data solutions (Siebel, Talend, Informatica) to modern AWS-native services. Implement and manage a data lake architecture using Apache Iceberg and AWS Glue. Work with Redshift for data warehousing solutions including performance tuning and modelling. Apply data quality and observability practices using Soda or similar tools. Ensure data governance and metadata management using Atlan (or other tools like Collibra, Alation). Collaborate with data architects, analysts, and business stakeholders to deliver robust data solutions. Build scalable, secure, and high-performing data platforms supporting both batch and real-time use cases. Participate in defining and enforcing data engineering best practices. Required Qualifications: 7+ years of experience in data engineering and data pipeline development. Strong expertise with AWS services, especially Redshift, Glue, S3, and Athena. Proven experience with Apache Iceberg or similar open table formats (like Delta Lake or Hudi). Experience with legacy tools like Siebel, Talend, and Informatica. Knowledge of data governance tools like Atlan, Collibra, or Alation. Experience implementing data quality checks using Soda or equivalent. Strong SQL and Python skills; familiarity with Spark is a plus. Solid understanding of data modeling, data warehousing, and big data architectures. Strong problem-solving skills and the ability to work in an Agile environment.

Data Governance, Data Quality, Data Management Collibra, Alation MDM, and BI/reporting processes data privacy regulations (GDPR, CCPA, etc.) Agile project environments

Looking for Fulltime, Consulting or Freelance Experts with Alation Experience Note: Looking for Immediate Joiners only Summarized Purpose: We are seeking an exceptionally skilled and motivated Solution Architect/Data Governance Lead who can play a pivotal role in the realm of data analytics and business intelligence, driving impactful solutions that empower organizations to harness the full potential of data and enabling to make informed decisions that can help to achieve the business objectives and foster a data-driven culture. Essential Functions: Design and architect end-to-end data governance solutions, focusing on the implementation of the Alation tool, to meet the organization's data governance objectives and requirements. Collaborate with business stakeholders, data stewards, and IT teams to understand data governance needs and translate them into technical requirements, leveraging the capabilities of the Alation tool. Develop data governance strategies, policies, and standards that align with industry best practices and regulatory requirements, leveraging the Alation tool's features and functionalities. Implement and configure the Alation tool to support data governance initiatives, including data cataloging, data lineage, data quality monitoring, and metadata management. Define and implement data governance workflows and processes within the Alation tool, ensuring efficient data governance operations across the organization. Collaborate with cross-functional teams to integrate the Alation tool with existing data systems and infrastructure, ensuring seamless data governance processes. Conduct data profiling, data quality assessments, and data lineage analysis using the Alation tool to identify data issues and develop remediation strategies. Provide guidance and support to business stakeholders, data stewards, and data owners on the effective use of the Alation tool for data governance activities. Stay updated on the latest trends, emerging technologies, and best practices in data governance and the Alation tool, and proactively recommend enhancements and improvements. Collaborate with IT teams to ensure the successful implementation, maintenance, and scalability of the Alation tool, including upgrades, patches, and configurations. Knowledge, Skills and Abilities: Bachelor's degree in computer science, information systems, or a related field. A master's degree is preferred. Must have minimum 15 years experience in IT who has min 3 years experience in Alation and min 10+ years experience in SQL, EDW or any Data Engineering/Data Science capabilities. Proven experience as a Data Governance Solution Architect, Data Architect, or similar role, with hands-on experience implementing data governance solutions using the Alation tool (Must Have) Strong expertise in designing and implementing end-to-end data governance frameworks and solutions, leveraging the Alation tool (Must Have) In-depth knowledge of data governance principles, data management best practices, and regulatory requirements (e.g., GDPR, CCPA). Proficiency in configuring and customizing the Alation tool, including data cataloging, data lineage, data quality, and metadata management features. (Must Have) Experience in data profiling, data quality assessment, and data lineage analysis using the Alation tool or similar data governance platforms. (Must Have) Familiarity with data integration, data modeling, and data architecture concepts. Excellent analytical, problem-solving, and decision-making skills with a keen attention to detail. Strong communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams and influence stakeholders. Proven ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines. Professional certifications in data governance, such as CDMP (Certified Data Management Professional), DAMA-CDMP (Data Management Association Certified Data Management Professional) , or similar certifications, are a plus. (Nice to Have) Good Understanding of Master Data Management, Data Integration and SQL Skills Exposure to dimensional data modeling, Data Vault Modeling, ETL, ELT and data warehousing methodologies. Ability to effectively communicate in writing and orally with a wide range of audiences and maintain interpersonal relationships. Ability to work within time constraints and manage multiple tasks against critical deadlines. Ability to perform problem solving and apply critical thinking, deductive reasoning, and inductive reasoning to identify solutions. Certifications from Alation are desired (Must Have )