Overview:
In this role you shape the end-to-end architecture for a governed, zero-copy data platform across multi-cloud sources. You translate evolving product vision into concrete designs, guiding engineering and ensuring governance and integration standards. You will enable agent-based data consumption while aligning with enterprise practices, delivering faster, safer, and reusable data capabilities. This is a hands-on leadership role at the intersection of platform strategy, data engineering, and governance, with a clear impact on client solutions.
Responsibilities:
Own end-to-end solution architecture for a governed, zero-copy data platform across Databricks, Snowflake, and related sources Produce architecture artifacts and set design standards to guide engineering decisions Define and prioritize catalog and metadata integration patterns across cloud and lakehouse environments Design agent- and MCP-based access patterns to expose data products to enterprise AI tools Articulate future-state direction for data products, cross-source composition, and agentic consumption Ensure alignment with enterprise engineering practices while guiding the team toward agent-based data consumption
Key requirements:
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field with 10+ years of technology experience Senior/enterprise architect with experience in cross-cloud and multi-cloud data architectures Proven experience with zero-copy, data-mesh, and data-product principles including domain-driven design Deep data governance expertise (RBAC, data sensitivity, policy classification, geolocation access) Experience defining data-contract standards and embedding governance metadata into workflows Strong identity and access management background (OAuth/OIDC, service accounts) Excellent communication, stakeholder management, and documentation skills Prior consulting or client-facing delivery experience across multiple concurrent initiatives customer-first mindset influence across engineers and senior leaders strong communication and collaboration Databricks Snowflake Collibra