Data / Information Architect

Job Description: Data / Information Architect
Location: Remote OK, must work PST
Duration: 10 Months

As a Data / Information Architect, you will play a crucial role in designing and implementing our enterprise metadata model and distributed workspace architecture. You will lead efforts to integrate metadata management systems, champion best practices, and drive cross-functional alignment to support our data infrastructure. This position requires a strategic mindset, hands-on technical expertise, and the ability to collaborate effectively across diverse teams.
• 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.
• 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, taxonomy, and data discovery.
• 2 - Familiarity with data governance frameworks and compliance requirements.
• 5 - Extensive hands-on experience with Databricks, Collibra, Unity Catalog, and Semantic Modeling, including integration and implementation in enterprise environments.
• 5 - Proven track record of implementing and managing distributed workspaces in Databricks.
• 4 - Expertise in metadata modeling, data architecture, and enterprise-scale data discovery solutions.