The Senior Data Engineer will enhance data governance and quality by managing various data tools, implementing validation workflows, and ensuring compliance with data standards.
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!
- 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.
- 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.
- 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
- Informatica Data Quality Specialist Certification
- Databricks Lakehouse Fundamentals / Unity Catalog Specialist
- GCP Data Engineer or Professional Data Stewardship certifications
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Top Skills
Axon
Databricks
Dbt
Edc
GCP
Informatica Data Quality
Mdm
Unity Catalog
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