Data Architect- Governance

Jobs via Dice; Seattle (WA); On-site; USD 120,000 - 240,000; Full time

Job summary

A leading technology company is seeking a Data Governance Architect focused on Unity Catalog and metadata management. The candidate will be responsible for designing enterprise data models, ensuring collaboration across teams, and driving best practices in data governance. Competitive salary range reflects the demand for expertise in Databricks and associated technologies.

Qualifications

• Extensive hands-on experience with Databricks, Collibra, Unity Catalog, Privacera.
• Proven track record in managing distributed workspaces.
• Expertise in metadata modeling and data governance.

Responsibilities

• Lead the design of enterprise metadata models in Collibra.
• Develop workflows for metadata management with Unity Catalog.
• Establish optimization plans in Databricks.

Skills

Metadata management

Collibra

Databricks

Data architecture

Enterprise-scale data discovery

Job description

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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Purple Drive Technologies LLC, is seeking the following. Apply via Dice today!

Data Governance Architect- Unity Catalog

Key Responsibilities:

Lead the design and implementation of an enterprise metadata model in Collibra that is 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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