Data Governance / DataHub Engineer

KEY RESPONSIBILITIES

▸  Architect, deploy, and operate the DataHub metadata platform in cloud and on-premises environments 

▸  IntegrateDataHub with lakehouse sources including Databricks, Snowflake, Kafka, Airflow, and BI tools 

▸  Configure and maintain automated metadata ingestion pipelines (DataHub Managed Ingestion) 

▸  Build and maintain data lineage graphs across the full data stack (source to dashboard) 

▸  Implement data classification, tagging, and business glossary within DataHub

▸  Enable and enforce data ownership assignment and stewardship workflows 

▸  Collaborate with data governance team to translate policies into platform controls 

▸  Develop custom DataHub plugins and APIs to extend platform capabilities 

▸  MonitorDataHub platform health, storage, and ingestion job performance 

▸  Train data stewards, owners, and consumers on DataHub usage and governance standards 

REQUIRED QUALIFICATIONS

▸  5+ years in data engineering or platform engineering roles 

▸  2+ years of hands-on experience with DataHub deployment and configuration 

▸  Strongproficiency in Python for writing custom DataHub recipes and plugins 

▸  Experience with Docker, Kubernetes, and Helm chart management 

▸  Familiarity with metadata standards: OpenLineage, OpenAPI, Apache Atlas metadata models 

▸  Understanding of data governance concepts: data lineage, classification, stewardship, and RBAC 

▸  Experience integrating with REST APIs and event-driven architectures (Kafka) 

▸  Bachelor's degree in Computer Science or related technical field 

PREFERRED QUALIFICATIONS

▸  Experience with Atlan, Alation, or Collibra as complementary or alternative catalog tools 

▸  Familiarity with GDPR/CCPA data inventory and lineage reporting requirements 

▸  Knowledge of great expectations or Monte Carlo for data observability