Sr. DataHub Architect

Sr. DataHub Architect Location: Torrance, CA
Job Description:
Highly experienced and strategic Senior DataHub Architect to lead the design, implementation, and governance of our enterprise metadata and data discovery platform. This role is instrumental in shaping our data governance and cataloging strategy, leveraging DataHub as the core platform for centralized data, metadata management, lineage tracking, and data observability.

The ideal candidate will combine deep technical expertise with strategic vision and be comfortable working independently while also leading cross-functional teams across architecture, engineering, analytics, applications and governance functions.
Key Responsibilities:

• Architect the deployment and customization of DataHub, including storage, ingestion pipelines, and UI/UX extensions.
• Integrate DataHub with a wide range of systems data warehouses, lakes, BI tools, data pipelines (e.g. Airflow), and third-party APIs.
• Extend and customize DataHub metadata models and schema registries as needed.
• Design lineage tracking and policy-driven metadata enrichment for structured and unstructured data assets.
• Work independently with minimal oversight while guiding development and architecture teams toward delivery excellence.
• Partner with data governance teams to ensure DataHub integration supports metadata harvesting, lineage tracking, and data discovery across platforms.
• Build ingestion pipelines using Kafka, REST APIs, Python, and plug-ins to ingest metadata from tools like Snowflake, Power BI, Git, Tableau, etc.
• Implement best practices for metadata lifecycle management, data quality monitoring, and catalog usage.
• Work with security and compliance teams to ensure DataHub supports data protection, classification, and auditability.
• Define and monitor key success metrics for catalog adoption, completeness, and trustworthiness.
• Collaborate with integration architects to link DataHub with broader IT ecosystems (APIs, DevOps, security, CMS/microsites).
• Guide data producers and consumers on how to tag, publish, and consume metadata effectively.
• Guide teams through the delivery lifecycle: design, development, testing, deployment, and monitoring.
• Review and approve technical designs, solution blueprints, and integration code for quality and alignment.
• Collaborate with data and platform engineering teams to enable metadata-driven integration and discoverability using DataHub.
• Manage relationships with vendor partners to ensure alignment with architectural standards and business goals.
• Establish and maintain governance frameworks for team and vendor partners to ensure the effectiveness of architecture services.
• Prepare and present weekly and monthly reports on architectural progress, challenges, and achievements.