Glow Networks
Data / Information Architect
Glow Networks - Dallas, Texas, United States, 75215
Work at Glow Networks
Overview
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Overview
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.
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.