139 Data Lineage Jobs - Page 6

Overview: We are seeking a Lead Data Strategist to drive data strategy and architecture for over 60 Risk and Compliance applications within the CIO Markets division. This leadership role requires a deep engineering background, particularly in designing and building large-scale data platforms. The ideal candidate will work closely with Markets Data Leads to shape a robust data ecosystem that emphasizes strong data governance, lineage, and modelling. Key Responsibilities: Lead the Data Architecture for Risk and Compliance applications, ensuring alignment with enterprise data strategy. Own the Data Track, partnering with Markets data leads to define and maintain robust data models, enforce data controls, and establish end-to-end data lineage. Drive Data Culture, establishing data principles and embedding a data-driven mindset across teams. Core Skills & Experience: Proficient in Java and/or Python for backend and data processing tasks. Strong experience with both relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Familiar with data modelling techniques, including star and snowflake schemas. Skilled in cloud-native data tools for lineage, modelling, and governance (e.g., Google Dataplex or equivalent). Proven ability in designing large-scale ETL pipelines and big data solutions. Solid grasp of industry-standard data architecture principles and patterns. Excellent influencing and communication abilities, with a track record of working cross-functionally. Preferred Experience: Familiarity with Risk Management and Compliance applications. Experience with architectural design principles in regulated environments.

Data Governance, Data Quality, or Data Management roles Strong knowledge of data quality principles, data standards, and issue management processes MDM, and BI/reporting data privacy regulations (GDPR, CCPA, etc.) Agile

Location - Chennai Responsibilities Direct Responsibilities Work closely with WM IT DCIO team to execute the Data Governance Implementation across Data Initiatives e.g., RAMI (Data Retention), Data Privacy by Design, Data Quality, etc. Create and test proof-of-concept / solutions to support the strategic evolution of the software applications. Data Governance SME within Wealth Management operationally working with Data Custodian IT Officer (DCIO), DPO (Data Protection Officer), CDO (Chief Data Officer) teams. Hands-on with the development, testing, configuration, deployment of software systems in the Data Transversal organization Operationalize Data Policies / Frameworks including Business Glossaries, Data Dictionaries, Data Profiling, etc. Technical & Behavioral Competencies Minimum 7+ years of experience as: Data expertise (At least 2 of the following: Data Governance, Data Quality, Data Privacy & Protection, Data Management) Bachelors degree in Engineering (Computer science or Electronic & Communications) Qualications: Hands-on experience in working with Data (Data Profiling, Scorecards/BI) Previously worked in Data Governance and Data Security Financial Services products and Applications knowledge Working knowledge across Excel, SQL, Python, Collibra, PowerBI, Cloud Plus: Collibra Developer or Ranger Certified or similar certification is preferred. Skills required: Knowledge about Data and Compliance / Regulatory environment( global and local Data Regulations) Demonstrates flexibility and willingness to accept assignments and challenges in rapidly changing environment. Understand how data is used (e.g., Analytics, Business Intelligence, etc.) Working knowledge on Data lifecycle, and Data Transformations / Data Lineage At least 2 of the following: Data Quality, Data Architecture, Database Management, Data Privacy & Protection, Security of data Ability to define relevant key performance indicators (KPI) Problem solving and team collaboration Self-motivated and results driven Project management and business analysis Agile thinking Transversal skills: Proficient in design new process, adaptation of Group IT processes to Wealth Management IT Strong communication to elaborate across stakeholders, and support change Minimum 7 years of experience in Data / Tech

Location : Bengaluru (Hybrid) / Remote Job Type : Full-time Experience Required : 5+ Year Notice Period : immediate -30 days Role Overview : As a Collibra Expert, you will be responsible for implementing, maintaining, and optimizing the Collibra Data Governance Platform to ensure data quality, governance, and lineage across the organization. You will partner with cross-functional teams to develop data management strategies and integrate Collibra solutions with Google Cloud Platform (GCP) to create a robust, scalable, and efficient data governance framework for the retail domain. Key Responsibilities : - Data Governance Management : Design, implement, and manage the Collibra Data Governance Platform for data cataloging, data quality, and data lineage within the retail domain. - Collibra Expertise : Utilize Collibra for metadata management, data quality monitoring, policy enforcement, and data stewardship across various business units. - Data Cataloging : Lead the implementation and continuous improvement of data cataloging processes to enable a centralized, user-friendly view of the organization's data assets. - Data Quality Management : Collaborate with business and technical teams to ensure that data is high-quality, accessible, and actionable. Define data quality rules and KPIs to monitor data accuracy, completeness, consistency, and timeliness. - Data Lineage Implementation : Build and maintain comprehensive data lineage models to visualize the flow of data from source to consumption, ensuring compliance with data governance standards. - GCP Integration : Architect and implement seamless integrations between Collibra and the Google Cloud Platform (GCP) tools such as BigQuery, Dataflow, and Cloud Storage, ensuring data governance policies are enforced in the cloud environment. - Collaboration & Stakeholder Management : Collaborate with Data Engineers, Analysts, Business Intelligence teams, and leadership to define and implement data governance best practices and standards. - Training & Support : Provide ongoing training and support to business users and technical teams on data governance practices, Collibra platform usage, and GCP-based solutions. - Compliance & Security : Ensure data governance initiatives comply with internal policies, industry standards, and regulations (e.g., GDPR, CCPA). Key Requirements : - Proven Expertise in Collibra : Hands-on experience implementing and managing Collibra Data Governance Platform (cataloging, lineage, data quality). - Google Cloud Platform (GCP) Proficiency : Strong experience with GCP tools (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.) and integrating them with Collibra for seamless data governance. - Data Quality and Lineage Expertise : In-depth knowledge of data quality frameworks, metadata management, and data lineage implementation. - Retail Industry Experience : Prior experience in data governance within the retail or eCommerce domain is a plus. - Technical Skills : Strong understanding of cloud data architecture and best practices for managing data at scale in the cloud (preferably in GCP). - Problem-Solving and Analytical Skills : Ability to analyze complex data governance issues and find practical solutions to ensure high-quality data management across the organization. - Excellent Communication Skills : Ability to communicate effectively with both technical and non-technical stakeholders to advocate for data governance best practices. - Certifications : Relevant certifications in Collibra, Google Cloud, or Data Governance are highly desirable. Education & Experience : - Bachelor's degree (B. Tech/BE) mandatory, masters optional - 5+ years of experience in Data Governance, with at least 3 years of specialized experience in Collibra and GCP. - Experience working with data teams in a retail environment is a plus.

Job Role & responsibilities:- Understanding operational needs by collaborating with specialized teams • Supporting key business operations. This involves architecture data flow, data lineage and building data systems Help to identify and deploy enterprise data best practices such as data scoping, metadata standardization, lineage, data deduplication, mapping and transformation, and business validations. Own development and management of data glossaries and data owner matrices to establish enterprise data standards pertaining to the use of critical data. Assist with deploying data issue capture and resolution process. Engage with key business stakeholders to assist with establishing fundamental data governance processes Create, prepare, and standardize data quality reports for internal analysis. Define key data quality metrics and indicators and facilitate the development and implementation of supporting standards. Technical skills ,Experience & Qualification required:- 4-10 years of experience in Data Governance Experience who is proficient in data management, understands data model frameworks, and has practical knowledge of MDM Hands on experience in Collibra tool Hands-on experience on working with data catalog tool as Collibra. Hands on experience on Collibra, Data governance and Data quality aspects; working with python Understanding of Cloud ServicesAzure Good communication and interpersonal skills Bachelors Degree in Computer Science or related field Soft skills and competencies: - Good communication skills to coordinate between business stakeholders & engineers Strong results-orientation and time management True team player who is comfortable working in a global team Ability to establish relationships with stakeholders quickly in order to collaborate on use cases Autonomy, curiosity and innovation capability Comfortable working in a multidisciplinary team within a fast-paced environment * Only Immediate Joiners will be preferred.

Dear Candidate, We are hiring a Data Platform Engineer to build scalable infrastructure for data ingestion, processing, and analysis. Key Responsibilities: Architect distributed data systems. Enable data discoverability and quality. Develop data tooling and platform APIs. Required Skills & Qualifications: Experience with Spark, Kafka, and Delta Lake. Proficiency in Python, Scala, or Java. Familiar with cloud-based data platforms. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Job Title: Pharma Business Analyst (Digital Experience & Collibra Expertise) Experience Level: 8+ Years Location: India Job Type: Contract Job Summary: We are seeking an experienced Pharma Business Analyst with a strong background in digital transformation initiatives and deep expertise in Collibra Data Governance . The ideal candidate will play a critical role in bridging the gap between business needs and technology solutions in the pharmaceutical domain, ensuring that data-driven digital initiatives align with regulatory and compliance standards. Key Responsibilities: • Collaborate with stakeholders across business and IT teams to gather, analyse, and document business requirements. • Lead the implementation and optimization of Collibra Data Governance solutions across the organization. • Work closely with data stewards, data owners, and governance teams to define data standards, policies, and metadata models. • Translate complex business needs into functional and technical specifications. • Support digital initiatives by integrating data governance into digital platforms, tools, and workflows. • Conduct impact analysis, gap assessments, and business process modeling (BPM). • Facilitate workshops, JAD sessions, and user training sessions. • Ensure compliance with industry regulations including GxP, FDA, and other relevant standards. Required Qualifications: • 810 years of experience as a Business Analyst in the pharmaceutical/life sciences industry. • Proven experience with Collibra Data Governance Center , including setting up domains, workflows, and operating models. • Strong understanding of data governance, data lineage, metadata management , and regulatory compliance. • Experience in digital transformation projects within pharma e.g., digital labs, digital supply chain, or patient engagement platforms. • Strong analytical and problem-solving skills, with an ability to work with technical and non-technical stakeholders. • Excellent communication and documentation skills. • Proficient in tools such as JIRA, Confluence, Visio, Excel , and other BA toolsets. Preferred Skills: • Knowledge of clinical trial processes, R&D, or commercial pharma operations . • Familiarity with AI/ML applications in pharma or digital health platforms. • Collibra certification is a plus. • Understanding of data privacy laws (e.g., HIPAA, GDPR) relevant to pharmaceutical data. Work Environment: • Fully remote position with flexibility in working hours to accommodate cross-functional and international teams. • Collaborative, fast-paced team focused on innovation and excellence in digital health initiatives.

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

About the Role We are looking for a Staff Engineer to lead the design and development of a scalable, secure, and robust data platform. You will play a key role in building data platform capabilities for data quality, metadata management, lineage tracking, and compliance across all data layers. If youre passionate about building foundational data infrastructure that accelerates innovation in healthcare, wed love to talk. A Day in the Life Architect, design, and build scalable data governance tools and frameworks. Collaborate with cross-functional teams to ensure data compliance, security, and usability. Lead initiatives around metadata management, data lineage, and data cataloging. Define and evangelize standards and best practices across data engineering teams. Own the end-to-end lifecycle of governance tooling from prototyping to production deployment. Mentor and guide junior engineers and contribute to technical leadership across the organization. Drive innovation in privacy-by-design, regulatory compliance (e.g., HIPAA), and data observability solutions. What You Need 8+ years of experience in software engineering. Strong experience building distributed systems for metadata management, data lineage, and quality tracking. Proficient in backend development (Python, Java, or Scala or Go) and familiar with RESTful API design. Expertise in modern data stacks: Kafka, Spark, Airflow, Snowflake etc. Experience with open-source data governance frameworks like Apache Atlas, Amundsen, or DataHub is a big plus. Familiarity with cloud platforms (AWS, Azure, GCP) and their native data governance offerings. Prior experience in building metadata management frameworks for scale.

Role Summary: The Data Quality Analyst will ensure robust monitoring and validation of cybersecurity metrics across all three levels of data quality control as defined in the DUSE framework. This includes rule creation, data profiling, exception handling, and supporting remediation actions across ~400+ existing DQ rules. Key Responsibilities: Support completion of DUSE 4 tasks by identifying and evidencing relevant DQ controls. Define, test, and implement DQ rules for cyber metrics (timeliness, accuracy, completeness). Profile data flows and monitor feeds against DQ thresholds using platforms like Databricks and Aurora . Log data quality exceptions, assess severity, and support remediation through root cause analysis. Maintain and update DQ monitoring dashboards and track compliance with internal and regulatory milestones. Work closely with Cyber SME and Data Engineers for validation and alignment on cyber-specific controls and issues. Own triage and gap validation for cyber risk metrics, ensuring closure of monitoring gaps. Collaborate with Data Architect and Engineers to build scalable DQ rules aligned with legacy and emerging cyber data structures. Supervise creation of control evidencing and closure packs for DUSE audits. Guide the team in identifying recurring issues and logging DQ exceptions. Facilitate training and ramp-up of junior analysts; serve as SME for DQ remediation approaches. Skillsets Required: Strong background in data quality assessment , issue management, and rule-based monitoring. Deep understanding of data management in financial services , especially for regulatory metrics. Experience working with large-scale DQ frameworks across DUSE/DMOV controls . Strong skills in issue resolution, DQ rule design , and control validation. Hands-on experience with tools like Databricks , Aurora , Excel , and Confluence . Able to lead process improvements and maintain high-quality documentation. Experience in BCBS 239/DUSE compliance, ideally within cybersecurity or operational risk. Familiarity with exception management, DQ scorecards, and automated reporting workflows. Excellent stakeholder collaboration skills, especially with ITSO and process owners.

Skilled in data modeling (ER/Studio, Erwin), MPP DBs (Databricks, Snowflake), GitHub, CI/CD, metadata/lineage, agile/DevOps, SAP HANA/S4, and retail data (IRI, Nielsen). Mail:kowsalya.k@srsinfoway.com

Understanding and experience with Master Data Management Applications Such as Semarchy , Markit EDM and data governance practices, data visualization platform like Microsoft Power BI, or Tableau a plus. Exp with agile scrum methodology. Required Candidate profile Review requirements with business stakeholder. Establish daily platform monitoring & reconciliation break resolution define governance framework. Translate requirements into actionable stories.

MS or BS in Computer Science or Equivalent 6-10+ years of relevant experience Strong Software Engineering Fundamentals API Development Proficiency in Data Structures Algorithms : Critical for designing efficient systems that handle large-scale data. System Design : Ability to design scalable, fault-tolerant systems and services. Coding Skills : Expertise in languages like Java, Python, or Scala, especially for backend systems development. RESTful Services : Proven experience in designing and building robust APIs for data access and integration. GraphQL: Knowledge of modern data access technologies for flexible querying. Microservices Architecture : Experience with creating microservices that handle different aspects of data management. Data Architecture and Design Patterns Database Design : Strong knowledge of both relational (SQL) and non-relational (NoSQL) databases like Oracle, MongoDB, Cassandra, or DynamoDB. Data Modeling : Ability to design and manage data models for efficient storage and retrieval. Data Warehousing : Experience with data warehouses and ETL processes. Data Access Controls : Experience with role-based access control (RBAC) and encryption techniques to secure sensitive data. Metadata Management : Familiarity with tools and processes for tracking data lineage, metadata catalogs (e.g., Apache Atlas, DataHub). Ability to handle complex data-related challenges, from dealing with incomplete or inconsistent data to optimizing performance. Strong analytical thinking to derive insights from data and build solutions that improve platform performance. Data Pipeline and Orchestration ETL/ELT Tools : Experience with data pipeline orchestration tools like Airflow, Prefect, or Dagster. Automation CI/CD : Familiarity with setting up CI/CD pipelines for data infrastructure. Distributed Systems : Experience with technologies like Hadoop, Spark, Kafka, and Flink for managing large-scale data processing pipelines. Data Streaming : Familiarity with real-time data processing frameworks (e.g., Apache Kafka, Pulsar, or RabbitMQ). Cloud Platforms : Hands-on experience with cloud-based data services (AWS, GCP, Azure), including data storage (S3, GCS) and data analytics (EMR, Dataproc). Leadership and Collaboration Team Leadership : Ability to mentor junior engineers and guide them in building robust, scalable systems. Cross-Functional Collaboration : Experience working closely with data scientists, analysts, and other engineers to deliver on the platforms objectives. Stakeholder Management : Strong communication skills for presenting technical decisions to non-technical stakeholders. Career Level - IC4 Responsibilities Strong Software Engineering Fundamentals API Development Proficiency in Data Structures Algorithms : Critical for designing efficient systems that handle large-scale data. System Design : Ability to design scalable, fault-tolerant systems and services. Coding Skills : Expertise in languages like Java, Python, or Scala, especially for backend systems development. RESTful Services : Proven experience in designing and building robust APIs for data access and integration. GraphQL: Knowledge of modern data access technologies for flexible querying. Microservices Architecture : Experience with creating microservices that handle different aspects of data management. Data Architecture and Design Patterns Database Design : Strong knowledge of both relational (SQL) and non-relational (NoSQL) databases like Oracle, MongoDB, Cassandra, or DynamoDB. Data Modeling : Ability to design and manage data models for efficient storage and retrieval. Data Warehousing : Experience with data warehouses and ETL processes. Data Access Controls : Experience with role-based access control (RBAC) and encryption techniques to secure sensitive data. Metadata Management : Familiarity with tools and processes for tracking data lineage, metadata catalogs (e.g., Apache Atlas, DataHub). Ability to handle complex data-related challenges, from dealing with incomplete or inconsistent data to optimizing performance. Strong analytical thinking to derive insights from data and build solutions that improve platform performance. Data Pipeline and Orchestration ETL/ELT Tools : Experience with data pipeline orchestration tools like Airflow, Prefect, or Dagster. Automation CI/CD : Familiarity with setting up CI/CD pipelines for data infrastructure. Distributed Systems : Experience with technologies like Hadoop, Spark, Kafka, and Flink for managing large-scale data processing pipelines. Data Streaming : Familiarity with real-time data processing frameworks (e.g., Apache Kafka, Pulsar, or RabbitMQ). Cloud Platforms : Hands-on experience with cloud-based data services (AWS, GCP, Azure), including data storage (S3, GCS) and data analytics (EMR, Dataproc). Leadership and Collaboration Team Leadership : Ability to mentor junior engineers and guide them in building robust, scalable systems. Cross-Functional Collaboration : Experience working closely with data scientists, analysts, and other engineers to deliver on the platforms objectives. Stakeholder Management : Strong communication skills for presenting technical decisions to non-technical stakeholders.

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 )