Senior Data Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Job Title: Senior Data Engineer (Data Governance & Quality Engineer)

Experience: 3 – 6 Years

Location: Bangalore - Hybrid

About the Role:

We are seeking a Data Governance & Quality Engineer to join our platform engineering team to help strengthen our data management, quality, and stewardship capabilities across a modern data ecosystem spanning GCP, Databricks, and MDM solutions.

This role is critical for configuring and managing Informatica, Unity Catalog, and data quality tools, establishing rule-based and automated data validation workflows, and supporting data stewardship workflows to ensure trusted and compliant data across LBUs.

Key Responsibilities:

• Configure, administer, and optimize Informatica Data Quality (IDQ), Informatica Axon/EDC, and Unity Catalog for data governance and metadata management.

• Define and implement data quality rules and checks across platforms such as Databricks, BigQuery, Informatica, and DBT.

• Develop profiling, validation, and monitoring frameworks to continuously measure data quality KPIs (completeness, accuracy, timeliness, uniqueness, etc.).

• Collaborate with data stewards and business teams to formalize data ownership, glossaries, and stewardship workflows.

• Establish lineage and impact analysis across pipelines using cataloging tools (Informatica EDC/Unity Catalog/DataHub/etc.).

• Integrate data quality checks into CI/CD pipelines to ensure pre-deployment validations.

• Work closely with platform, MDM, and security teams to ensure compliance with enterprise data governance standards and regulatory policies.

• Support MDM-related governance efforts by coordinating master data definitions, hierarchies, and golden records.

Must-Have Skills:

• 3–6 years of experience in data engineering, governance, or data quality roles.

• Hands-on experience with:

  • Informatica Data Quality (IDQ) or Axon/EDC

  • Unity Catalog (Databricks) – configuring access control, lineage, metadata
     

• Strong understanding of data stewardship principles, metadata management, and data lifecycle policies.

• Experience building data quality dashboards, alerts, and monitoring rules.

• Familiarity with data catalogs, business glossaries, and data domain modeling.

Nice-to-Have Skills:

• Experience with DataHub, Collibra, or open metadata frameworks.

• Exposure to MDM tools and workflows (golden record creation, survivorship rules, etc.).

• Working knowledge of data privacy, access management, and sensitive data handling.

• DBT – defining validation rules in transformation layer

• Azure Databricks – integrating quality checks or observability
   

Preferred Certifications:

• Informatica Data Quality Specialist Certification

• Databricks Lakehouse Fundamentals / Unity Catalog Specialist

• GCP Data Engineer or Professional Data Stewardship certifications