You will own the architecture and technical direction for complex data solutions.
Responsibilities
Design and implement data mesh and data lake solutions, covering data ingestion, validation, and orchestration using Databricks, Starburst, Collibra, and Immuta within AWS.
Create reusable data management and integration patterns and review them during architectural review boards.
Provide technical leadership to the data engineering team on implementing solutions using the core technology stack.
Establish and enforce data quality standards, governance policies, and data management best practices.
Lead and coordinate domain technical and business discussions on future architecture direction.
Required Skills
7+ years of experience across the full project lifecycle: design through production.
Advanced knowledge of data engineering and analytics tools, specifically Databricks, Immuta, Starburst, Collibra, and AWS.
Subject matter expertise across multiple solution patterns.
Strong understanding of business processes and enterprise knowledge.
Demonstrated experience building and leading successful technical teams.
Advanced problem-solving and communication skills.
Familiarity with data security, contingency planning, and compliance.