Databricks Data Architect

NOTE:

We are looking for Databricks architects - more solutioning experience , than just architecting. High viz role.

Strategic Databricks Data Architect

6-12 months

Onsite 4 days/week, SeaTac

Notes: this is NOT just senior Data Engineers; this is for an Architect, strategic stakeholder leader. Brand ambassador, visionary, perfect communicator and enthusiastic personality.

Databricks Architect

• in addition to the data engineering execution, needs abilities in solution architecture, informing technical architecture, Databricks experience, providing a point of view on best practices in databricks, ETL, etc.
• Collaborate with stakeholders to define data engineering requirements, success metrics, and alignment with organizational objectives.
• Design, develop, and deploy scalable, efficient, and robust data pipelines to support analytics, reporting, and AI applications.
• Create reusable frameworks and components to streamline data pipeline development and optimize workflows across multiple products.
• Shape technical direction and architectural decisions by providing expertise across teams, ensuring scalability and maintainability of data solutions.
• Work closely with DevOps, MLOps, and DataOps teams to ensure seamless integration of data solutions into operational environments.
• Regularly evaluate the performance of data pipelines, databases, and storage systems to identify areas for optimization and cost-efficiency.
• Refine and evolve data infrastructure to adapt to changing business requirements, ensuring reliability and efficiency.
• Mentor and coach junior team members, promoting technical growth and fostering a collaborative and innovative team culture.
• Facilitate knowledge sharing and drive the adoption of best practices for ETL development, coding standards, and data engineering workflows.
• Research and integrate cutting-edge tools, technologies, and methodologies to continuously advance the organization's data engineering capabilities.