Data Governance Architect – Databricks

Pune

About Us

We empower enterprises globally through intelligent, creative, and insightful services for data integration, data analytics and data visualization.

Hoonartek is a leader in enterprise transformation, data engineering and an acknowledged world-class Ab Initio delivery partner.

Using centuries of cumulative experience, research and leadership, we help our clients eliminate the complexities & risk of legacy modernization and safely deliver big data hubs, operational data integration, business intelligence, risk & compliance solutions and traditional data warehouses & marts.

At Hoonartek, we work to ensure that our customers, partners and employees all benefit from our unstinting commitment to delivery, quality and value. Hoonartek is increasingly the choice for customers seeking a trusted partner of vision, value and integrity

How We Work?

Define, Design and Deliver (D3) is our in-house delivery philosophy. It’s culled from agile and rapid methodologies and focused on ‘just enough design’. We embrace this philosophy in everything we do, leading to numerous client success stories and indeed to our own success.

We embrace change, empowering and trusting our people and building long and valuable relationships with our employees, our customers and our partners. We work flexibly, even adopting traditional/waterfall methods where circumstances demand it. At Hoonartek, the focus is always on delivery and value.

Job Description

Key Responsibilities

• Design and own the end-to-end data governance framework for the Databricks Data Foundation platform, covering data classification, ownership, stewardship, and quality standards.
• Architect Unity Catalog for metastore structure, catalog/schema hierarchy, fine-grained access controls (RBAC/ABAC), row- and column-level security, and audit logging across the migrated estate.
• Integrate Unity Catalog with enterprise data catalog and governance tooling (e.g. Collibra, Purview, or Alation) to give Allianz a single, consistent view of data lineage, glossary, and metadata across Databricks and connected systems.
• Define and implement data lineage capture (source-to-target) to support impact analysis, audit, and regulatory reporting during and after the Synapse-to-Databricks migration.
• Partner with data engineering, security, and platform teams to embed governance controls into migration pipelines for both Phase 1 (in progress) and the upcoming Phase 2 source systems.
• Ensure the governance model satisfies insurance-sector regulatory requirements (e.g. GDPR, BCBS 239, Solvency II) and Allianz's internal data policies.
• Act as the governance subject-matter expert in Allianz Technology engagement forums, including SteerCo and status reporting, translating technical governance decisions for business and compliance stakeholders.
• Mentor engineers on governance best practices and review designs for compliance before deployment.

Required Skills & Experience

• 10+ years in data architecture/engineering, with at least 3-4 years focused on data governance in cloud data platforms.
• Hands-on expertise architecting and administering Databricks Unity Catalog: metastores, catalogs, access control, lineage, audit logs, and Delta Sharing.
• Proven experience integrating Databricks with enterprise data catalog/governance tools such as Collibra, Microsoft Purview, or Alation.
• Worked on Azure as hyperscaler in past project
• Has worked on Informatica earlier and understands Data Governance implementation
• Strong grounding in data governance frameworks and concepts: data stewardship, master data management, data quality, metadata management, and data lineage.
• Experience with large-scale cloud data platform migrations (Synapse, Azure Data Factory, or equivalent, to Databricks/Lakehouse architectures preferred).
• Working knowledge of regulatory and compliance frameworks relevant to insurance/BFSI (GDPR, BCBS 239, Solvency II, or similar).
• Strong stakeholder management and communication skills, with experience presenting to senior client and SteerCo audiences.
• Prior experience working within a large enterprise client engagement model (consulting/systems integrator background preferred).

Preferred Qualifications

• Databricks certification (e.g. Databricks Certified Data Engineer Professional, or Databricks Lakehouse/Unity Catalog specialty credentials).
• Certification or hands-on experience with Collibra, Purview, or Alation administration.
• Prior experience in insurance or broader insurance services, especially on regulatory/audit-driven data programmes.
• Familiarity with Azure cloud services beyond Synapse (Azure Data Lake, Azure Key Vault, Azure Purview).
• Experience defining governance operating models (data ownership RACI, stewardship councils, policy lifecycle).