Data Architect

Responsibilities

• Collaborate with clients to understand business objectives and technical requirements, translating them into target-state data architectures and roadmaps that drive value.
• Own the architecture of end-to-end data initiatives: design and guide the build of scalable data pipelines, lakehouses, and architectures using Fabric, and other modern tools (Databricks, Snowflake, Azure Data Services, etc.).
• Model full end-to-end medallion lakehouse architectures (bronze, silver, gold), articulate them clearly to client stakeholders, and guide their implementation - ensuring scalability, data quality, governance, and performance.
• Design and own parameterized ingestion frameworks for batch and near real-time pipelines, including source connectivity across diverse systems (databases, APIs, files, streaming) and on-premises data gateways.
• Optimize pipeline and query performance - tuning Spark, partitioning, shortcuts, and increme...