45 Data Lineage Jobs

Write specifications for Master Data Management builds Create requirements, including rules of survivorship, for migrating data to Markit EDM implementation of data governance Support testing Develop data quality reports for the data warehouse Required Candidate profile 5+ years of experience documenting data management requirements Experience writing technical specifications for MDM builds Familiarity with enterprise data warehouse Knowledge of data governance

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

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:- 6-10 years of experience in Data Governancev Hands on experience in Collibra tool Experience who is proficient in data management, understands data model frameworks, and has practical knowledge of MDM 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. Outstaion candidate's will not be considered

Data Engineer-Data Integration (Informatica skilled with experience in Data Lineage feature and flavour of delivery management) Designs and builds solutions to move data from operational and external environments to the business intelligence environment using Informatica. Skills include designing and developing extract, transform and load (ETL) processes. Experience includes full lifecycle implementation of the technical components of a business intelligence solution. Team management expertise for at least 1520-member team including responsibility of teams deliverables. Experience in direct client interaction on-site. Experience in escalation management. Experience in manage client engagements, ensuring delivery of solutions for complex IT, business and client requirements. Responsible for leading a project team in delivering a solution to the client using the appropriate business measurements and terms and conditions for the project according to the project charter, project agreement or contract. Have overall performance responsibility for managing scope, cost, schedule, and contractual deliverables, which includes applying techniques for planning, tracking, change control, and risk management. Are responsible for managing all project resources, including subcontractors, and for establishing an effective communication plan with the project team and the client. Provide day to day direction to the project team and regular project status to the client.

Key Responsibilities Atlan Deployment & Connector Setup : Configure Atlan (SaaS or private cloud), set up connectors for Data Bricks, Hadoop, Power BI, and schedule metadata ingestion pipelines. Metadata Modeling & Domain Onboarding : Work with domain owners to map schemas, define custom metadata attributes (sensitivity, owner, SLA), and create standardized ingestion playbooks for new data domains. Lineage Instrumentation & Data Profiling : Instrument column-level lineage via OpenLineage or native Atlan connectors, configure automated profiling jobs (row counts, null rates) to surface data quality metrics. Governance Policy Implementation : Translate policies (PII detection, data retention) into Atlans rule engine, configure RBAC and SSO/LDAP integration, and implement encryption/masking for sensitive datasets. Monitoring & Troubleshooting : Build monitoring dashboards (CloudWatch, Grafana) to track ingestion health and API errors, diagnose pipeline failures, and coordinate fixes with Atlan Support and source-system teams. Required Qualifications 3-5 years implementing or supporting ( hands-on ) Atlans platform (catalog, lineage, policy automation) (Good to have: Collibra, Alation experience). Proficiency in Python or JavaScript for API integrations, strong SQL skills, and hands-on experience with ETL/ELT frameworks. Familiarity with cloud platforms (AWS/GCP), containerization (Kubernetes/Docker), and scripting infrastructure as code (Terraform, CloudFormation). Solid understanding of metadata concepts (technical vs. business metadata, lineage, profiling) and data classification schemes (PII, PCI, PHI). Strong stakeholder-engagement skills: able to run onboarding sessions and create clear runbooks. Bachelor’s in computer science, Data Engineering, or related field; relevant cloud or Atlan certifications a plus

Expert in the Operating Model & AJG data governance, SOP’s for Collibra, Collibra Data Catalog KPI, manual stitching of assets in Collibra, Technical skills. Workflow Design & Stakeholder Management, Hands on exp in Data Governance & Collibra. Required Candidate profile Implementation, configuration, and maintenance of the Collibra Data Governance Platform Stewards, data owners, stakeholders, data governance, data quality, and data integration principles.

Write specifications for Master Data Management builds Create requirements, including rules of survivorship, for migrating data to Markit EDM implementation of data governance Support testing Develop data quality reports for the data warehouse Required Candidate profile 3+ years of experience documenting data management requirements Experience writing technical specifications for MDM builds Familiarity with enterprise data warehouse Knowledge of data governance

Proficiency in data modeling tools such as ER/Studio, ERwin or similar. Deep understanding of relational database design, normalization/denormalization, and data warehousing principles. Experience with SQL and working knowledge of database platforms like Oracle, SQL Server, PostgreSQL, or Snowflake. Strong knowledge of metadata management, data lineage, and data governance practices. Understanding of data integration, ETL processes, and data quality frameworks. Ability to interpret and translate complex business requirements into scalable data models. Excellent communication and documentation skills to collaborate with cross-functional teams.

Define, implement, & enforce data governance policies & standards to ensure data quality, consistency, & compliance across the organization Collaborate with data stewards, business users, & IT teams to maintain metadata, lineage, & data catalog tools

Job Title Atlan Data Governance Implementation Engineer (Hands-On Role) Key Responsibilities Atlan Deployment & Connect Required Skills and Qualifications Minimum 8+ years of relevant experience in data governance, data analytics, or related fields. Strong understanding of data governance principles and best practices. Experience with data profiling, validation, and cleansing tools and techniques. Ability to analyze data, identify patterns, and recommend solutions. Excellent communication and interpersonal skills. Ability to work independently and collaboratively in a team environment. Hands-on experience with relational databases and data warehouses. Knowledge of data quality metrics, dashboards, and reporting. Experience with data governance tools and technologies. Strong analytical and problem-solving skills. Proficient in Python, REST API development, Pandas, and Numpy. Experience with cloud platforms such as Azure, GCP, or AWS. Proficient in SQL and RDBMS. Let me know if you want me to tailor this further for any specific use!

Dear Candidate, We are hiring a Data Quality Analyst to ensure the accuracy, integrity, and consistency of enterprise data assets. This role supports data-driven decision-making through validation, profiling, and quality improvement initiatives. Key Responsibilities: Monitor, measure, and report on data quality metrics. Identify data anomalies and work with teams to resolve issues. Perform data profiling and root cause analysis. Design and execute data validation tests and quality rules. Collaborate with data stewards, engineers, and business teams. Required Skills & Qualifications: Strong SQL skills and experience with data profiling tools. Familiarity with data governance and MDM concepts. Experience with ETL processes and reporting platforms. Analytical mindset with attention to detail. Knowledge of tools like Talend, Informatica, or Collibra is a plus. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Job : Data Governance/Data Management About Us Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job : Data Governance/Data Management Location - Bangalore Exp - 4+ years Key Skills : Data Governance/Data Management (Mandatory) , Collibra / Informatica IDQ Domain : BFSI Responsibilities : Support the business in driving Data Governance principles according to the regulatory reporting requirements like BCBS 239 / CCAR /Liquidity. Work with the Business Owners to identify and understand data used for a business process and create a Business Glossary and Metadata in Collibra. Work with Data Architecture team to identify and document the physical data elements in order to build data quality controls. Document data lineage for a business concept. Issue Management related to Data Quality controls / Data Lineage / Data policies and procedures Role Requirements: Understanding/ experience of Collibra or other data governance tools. Working experience in a Data Governance role. Understanding of banking regulation's risk and controls. Example BCBS 239 / CCAR / GDPR / Liquidity

About TELUS Digital TELUS Digital (NYSE and TSX: TIXT) designs, builds, and delivers next-generation digital solutions to enhance the customer experience (CX) for global and disruptive brands. The companys services support the full lifecycle of its clients digital transformation journeys and enable them to more quickly embrace next-generation digital technologies to deliver better business outcomes. TELUS Digitals integrated solutions and capabilities span digital strategy, innovation, consulting and design, digital transformation and IT lifecycle solutions, data annotation, and intelligent automation, and omnichannel CX solutions that include content moderation, trust and safety solutions, and other managed solutions. Fueling all stages of company growth, TELUS Digital partners with brands across high-growth industry verticals, including tech and games, communications and media, eCommerce and fintech, healthcare, and travel and hospitality. Learn more at: telusinternational.com. Position Overview: We have an ambitious Enterprise Data Office and are building a class-leading data team that works to solve complex business challenges and provide insights to improve our business and customer experience. To enhance the team, we are looking for an innovative and enterprising Data Governance Engineer who plays a critical role in shaping and implementing our enterprise- wide data governance and data management roadmap and strategy. The Data Governance Engineer will focus their work on 'data is an asset' thinking across the enterprise, integrating the Data Governance tools implementations of Collibra Data Intelligence Platform, Collibra Data Quality, Google Cloud Data Related Tools, and Informatica MDM/RDM. This person will work with internal partners and developers to brainstorm and evaluate technical solutions, product integration opportunities and demonstrations. This role requires creative thinking, a deep curiosity and understanding of data models and usage, as well as empathy for partner/client challenges and pain points. Essential Responsibilities:

We are hiring for a leading Insurance Consulting organisation for Data Strategy & Governance role Exp: 4 to 6 yyrs Location : BangalorePune Responsibility: Develop and Drive Data Capability Maturity Assessment, Data & Analytics Operating Model & Data Governance exercises for clients Managing Critical Data Elements (CDEs) and coordinating with Finance Data Stewards Overseeing data quality standards and governance implementation Establish processes around effective data management ensuring Data Quality & Governance standards as well as roles for Data Stewards

Role & responsibilities Support the implementation and maintenance of data governance policies, procedures, and standards specific to the banking industry. Hands-on experience in creating and maintaining activities associated with data life cycle management and various data governance activities. Develop, update, and maintain the data dictionary for critical banking data assets, ensuring accurate definitions, attributes, and classifications. Interfacing Work with business units and IT teams to standardize terminology across systems for consistency and clarity. Document end-to-end data lineage for key banking data processes (e.g., customer data, transaction data, risk management data). Create and maintain documentation of metadata, data dictionaries, and lineage for ongoing governance processes. Experience on reports and dashboards preparation for data quality scores, and lineage status. 1. Technical Skills. Experience in Data governance related activities like (preparation on data dictionary and data lineage documents). Proficient in writing database queries. anyone of the database like (SQL, Oracle, MySQL, Postgres) Experience in data life cycle management Understanding of data privacy and security frameworks specific to banking, such as PCI DSS, DPDP act. Preferred candidate profile Minimum 4- 8 years of experience in Data governance related activities Bachelors degree in (B. Tech /BCA, BSc (IT) etc.) Information Systems and relevant field Experience in Data management life cycle and Data governance activities.

Dear Candidate, We are looking for a Data Governance Specialist to establish and maintain data governance policies, ensuring data quality, compliance, and responsible usage across the organization. Key Responsibilities: Define and enforce data governance policies and standards. Work with data owners and stewards to improve data quality. Monitor compliance with data privacy regulations (GDPR, HIPAA, etc.). Support metadata management, data lineage, and cataloging initiatives. Promote data literacy across departments. Required Skills & Qualifications: Experience with data governance tools (Collibra, Alation, Informatica). Knowledge of regulatory frameworks and data privacy laws. Strong analytical and documentation skills. Understanding of data architecture, MDM, and data stewardship. Excellent stakeholder management and communication skills. 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. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Role & responsibilities Should be very good in Erwin data Modelling. Should have good knowledge about data quality and data catalog. Should have good understanding in data lineage. Should have good understanding of the data modelling in both OLTP and OLAP system. Should have worked in any of the data warehouse as big data architecture. Should be very good in ANSI SQL. Should have good understanding on data visualization. Should be very comfortable and experience in Data analysis. Should have good knowledge in data cataloging tool and data access policy.

Role & responsibilities Should be very good in Erwin data Modelling. Should have good knowledge about data quality and data catalog. Should have good understanding in data lineage. Should have good understanding of the data modelling in both OLTP and OLAP system. Should have worked in any of the data warehouse as big data architecture. Should be very good in ANSI SQL. Should have good understanding on data visualization. Should be very comfortable and experience in Data analysis. Should have good knowledge in data cataloging tool and data access policy.

Role & responsibilities Should be very good in Erwin data Modelling. Should have good knowledge about data quality and data catalog. Should have good understanding in data lineage. Should have good understanding of the data modelling in both OLTP and OLAP system. Should have worked in any of the data warehouse as big data architecture. Should be very good in ANSI SQL. Should have good understanding on data visualization. Should be very comfortable and experience in Data analysis. Should have good knowledge in data cataloging tool and data access policy.

Role & responsibilities Should be very good in Erwin data Modelling. Should have good knowledge about data quality and data catalog. Should have good understanding in data lineage. Should have good understanding of the data modelling in both OLTP and OLAP system. Should have worked in any of the data warehouse as big data architecture. Should be very good in ANSI SQL. Should have good understanding on data visualization. Should be very comfortable and experience in Data analysis. Should have good knowledge in data cataloging tool and data access policy.

Role & responsibilities Should be very good in Erwin data Modelling. Should have good knowledge about data quality and data catalog. Should have good understanding in data lineage. Should have good understanding of the data modelling in both OLTP and OLAP system. Should have worked in any of the data warehouse as big data architecture. Should be very good in ANSI SQL. Should have good understanding on data visualization. Should be very comfortable and experience in Data analysis. Should have good knowledge in data cataloging tool and data access policy.

Role & responsibilities Should be very good in Erwin data Modelling. Should have good knowledge about data quality and data catalog. Should have good understanding in data lineage. Should have good understanding of the data modelling in both OLTP and OLAP system. Should have worked in any of the data warehouse as big data architecture. Should be very good in ANSI SQL. Should have good understanding on data visualization. Should be very comfortable and experience in Data analysis. Should have good knowledge in data cataloging tool and data access policy.

Extensive, hands on knowledge of Data Modelling, Data Architecture and Data Lineage Broad knowledge of banking products , Required Candidate profile financial products (ie international trade, credit physical data modelling preferably with cloud GCP

Extensive, hands on knowledge of Data Modelling, Data Architecture and Data Lineage Broad knowledge of banking products , financial products (ie international trade, credit physical data modelling preferably with cloud GCP

Overview As Senior Analyst, Data Modeling, your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architects teams. As a member of the data modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs data design/modeling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper management: business and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Assist with data planning, sourcing, collection, profiling, and transformation. Create Source To Target Mappings for ETL and BI developers. Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data str/cleansing. Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications 8+ years of overall technology experience that includes at least 4+ years of data modeling and systems architecture. 3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 4+ years of experience developing enterprise data models. Experience in building solutions in the retail or in the supply chain space. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models). Experience with integration of multi cloud services (Azure) with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or SnowFlake. Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI).