Databricks Engineer with Test Data Management

Neural Strategic Solutions, Inc.
Chicago, IL, United States
1 day ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Microsoft Azure Continuous Integration Data Architecture Data Discovery Information Engineering Data Governance Data Infrastructure Data Masking DevOps
+14 more
Github Python (Programming Language) Meta-Data Management Role-Based Access Control DataOps Test Data Data Classification Generative AI Data Lakes Pyspark Data Management Terraform Databricks Data Generation

Job description

  • Roll out TDM framework across projects on Databricks
  • Establish governance controls for sensitive data in lower environments
  • Build scalable pipelines for test data generation, masking, and refresh
  • Implement metadata management and lineage capabilities
  • Design synthetic data strategies for non-production environments
  • Enable self-service access to compliant test datasets
  • Develop reusable, automated data provisioning and lifecycle frameworks
  • Partner with QA, application teams, data governance, and security

Requirements

  • 8+ years in Data Engineering, Data Architecture, or Data Platform roles
  • 3+ years hands-on Databricks (Lakehouse, Delta Lake, Unity Catalog, PySpark)
  • Medallion Architecture implementation (Bronze/Silver/Gold)
  • Unity Catalog / data governance rollout experience
  • Enterprise data governance - Role based access control, metadata management, data classification, lineage, access control
  • Scalable ingestion, transformation, and provisioning pipelines
  • Azure (ADF, DevOps, Synapse) and/or AWS (S3, Lambda, Glue, Redshift, MWAA)
  • Python and PySpark development

Highly Desired

  • Test Data Management (data masking, de-identification, synthetic data generation)
  • AI-powered data discovery and classification
  • Generative AI / Databricks Mosaic AI
  • Data observability and monitoring frameworks
  • Cross-team framework rollout and enablement

Nice to Have

  • CI/CD and IaC (Terraform, Azure DevOps, GitHub Actions)
  • Regulatory compliance (PII, GDPR, CCPA, HIPAA)

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