Governance Technical Architect Collibra / Databricks / Privacera

Key Responsibilities

• Lead the design and implementation of an enterprise metadata model in Collibra, aligned with business objectives.
• Develop and execute workflows to integrate metadata management with Unity Catalog and Synaptica, ensuring discoverability and usability.
• Champion best practices for metadata collection, governance, and utilization across teams.
• Implement and Govern Data Access
• Experience with Privacera

• Establish an implementation and optimization plan for distributed workspaces in Databricks, leveraging Unity Catalog for secure, scalable data access and management.
• Define standards and practices for efficient use of Databricks distributed environments.
• Drive cross-functional alignment to support Databricks implementations within a unified architecture.

• Unify stakeholders from technical and non-technical teams around a shared vision for metadata and data discovery.
• Develop a clear roadmap outlining transition architecture states, milestones, deliverables, and success metrics.
• Serve as a strategic leader and a delivery-oriented contributor, ensuring plans lead to results.
• Foster collaboration in complex environments, addressing ambiguity with clarity and direction.

• Provide thought leadership and encourage adoption of innovative solutions in ontology, data access and data discovery.

Qualifications

Experience

• Extensive hands-on experience with Databricks, Collibra, Unity Catalog, Privacera
• Proven track record of implementing and managing distributed workspaces in Databricks.
• Expertise in metadata modeling, data architecture, and enterprise-scale data discovery solutions.

• Familiarity with data governance frameworks and compliance requirements.

Gov. Tech. Architect - Collibra/Databricks/Privacera

• Design and implement data architecture leveraging technologies such as Databricks, Unity Catalog, Privacera, and Collibra.
• Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality.
• Design and maintain data models and schemas, incorporating Unity Catalog and Collibra data governance practices.
• Ensure data security and compliance with regulations using Databricks and Privacera's features.
• Establish a robust data governance strategy, defining standards, metadata management, lineage, and quality practices.
• Operationalize Machine Learning models in Batch and Real Time Data Pipelines, leveraging relevant governance setups.
• Collaborate with cross-functional teams including data scientists, engineers, and analysts to translate business requirements into scalable solutions.