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
