Senior DataHub Architect

About the Role

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 such as 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 tagging, publishing, and consuming 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 teams and vendors to ensure the effectiveness of architecture services.
• Prepare and present weekly and monthly reports on architectural progress, challenges, and achievements.

Requirements

• 8+ years of experience in Data Engineering, Data Architecture, or Metadata management.
• 3+ years of hands-on experience implementing and customizing DataHub, preferably in a complex enterprise environment.
• Experience with CI/CD pipelines, containerization, orchestration, and cloud-native deployments (AWS, Azure, etc.).
• Experience leading the design, implementation, and governance of enterprise metadata and data discovery platforms.
• Deep technical expertise with strategic vision, comfortable working independently and leading cross-functional teams.
• Strong understanding of architectural principles and best practices.
• Experience with Kafka, REST APIs, Python, SQL, and JSON-based data models.
• Experience integrating with modern data stacks such as Snowflake, Airflow, Git.
• Knowledge of data privacy and compliance frameworks (GDPR, HIPAA, CCPA).
• Experience in highly regulated environments and large-scale data mesh or data fabric architectures.
• Excellent leadership, communication, and interpersonal skills.
• Strong analytical and problem-solving skills.
• Experience with containerization, orchestration, and agile methodologies is a plus.
• Familiarity with other metadata standards is a plus.

Nice to Have

• Experience with captive finance, and data analytics sectors.
• Relevant certifications in related fields.
• Experience with agile methodologies and DevOps practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field.

Benefits & Perks

• EPO/PPO Medical Plans
• HMO/PPO Dental programs
• Vision - VSP (Vision Plan Summary)
• 401K Retirement vesting program (VOYA)
• Paid Bi-Weekly/Direct Deposit
• Flex Spending Plan
• Voluntary Life, AD&D, STD or LTD plans