Data Quality Data Governance

Cognizant

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Quick summary

Work type
On-site
Location
Richmond, VA
Posted
26 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $183k
$131k $237k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $141,900–$223,750.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 330 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 211 roles with salary data.

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At a glance

TL;DR · Data Quality Data Governance

Role Posting Log in to save

The Senior Developer joins the team to design, develop, and implement data quality rules, profiling, monitoring, and scorecards across enterprise data platforms. This role focuses on building data governance capabilities, including business glossaries, metadata management, data catalogs, and lineage. The successful candidate will leverage AI and GenAI solutions to automate lineage discovery, enrich metadata, and generate data quality rules. Key responsibilities include developing integrations between governance tools and platforms like Snowflake, Databricks, Azure Data Factory, and SQL databases. Required technical skills include proficiency in SQL and Python, along with experience using tools such as DQ Labs, Reltio MDM, Microsoft Purview, Collibra, Alation, or Informatica. The work involves performing root cause analysis, supporting MDM initiatives, and implementing governance standards in modern data lakehouse environments.

Skills

Data Quality Data Governance Metadata Management MDM GenAI SQL Python Snowflake Databricks Azure Data Factory Microsoft Purview Collibra Alation Informatica DQ Labs Reltio Data Lineage Data Catalog LLMs

What you'll do

  • Design and implement data quality rules, profiling, monitoring, and scorecards across enterprise platforms.
  • Build and maintain data governance capabilities including business glossaries, metadata management, and data lineage.
  • Use GenAI solutions to automate lineage discovery, impact analysis, and data quality rule generation.
  • Enrich metadata and business definitions to improve catalog search and data asset discovery.
  • Develop integrations between DQ/DG tools and platforms like Snowflake, Databricks, and Azure Data Factory.
  • Support MDM initiatives including data stewardship and golden record management using tools like Reltio.
  • Perform root cause analysis on data issues and implement preventive controls.
  • Develop automation scripts and reusable frameworks to improve governance and quality processes.

What we're looking for

  • 10 years of experience in Data Quality, Data Governance, Metadata Management, or MDM.
  • Bachelor degree in Computer Science, Information Systems, Engineering, or a related field.
  • Strong hands-on experience with a DQ platform such as DQ Labs, Ataccama, Informatica DQ, Bigeye, Monte Carlo, Soda, or similar.
  • Experience with Data Catalog and Lineage tools such as Microsoft Purview, Collibra, Alation, Informatica EDC, or similar.
  • Experience leveraging AI GenAI for metadata management, lineage generation, cataloging, and DQ rule creation.
  • Proficiency in SQL and Python.
  • Experience with cloud data platforms such as ADF, Databricks, Snowflake, and Azure.
  • Experience with Reltio MDM or similar MDM platforms (preferred).

Related searches

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