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Data Architect (Databricks)

Job Description - Data Architect (Databricks)

Job Duties: We are looking for a senior, client-facing Data Architect to support the delivery of complex data products for a large enterprise client. Act as the lead Data Architect for Databricks-based data platforms and products Design end-to-end data architectures covering ingestion, processing, storage, and consumption Define Lakehouse architecture using Databricks (Delta Lake, Unity Catalog, etc.) Work closely with: o Client stakeholders o Product owners o Delivery leads Total Experience: 10-15+ years in data & analytics roles Relevant Experience: 7-10+ years in data architecture / solution design Databricks Experience: 3-5+ years hands-on (architecture + delivery) Client-Facing / Consulting Experience: 3+ years working directly with demanding enterprise clients Seniority or grade is flexible, but the candidate must demonstrate architect-level ownership, confidence, and delivery maturity. Core Data & Architecture Strong expertise in data architecture and data platform design Deep understanding of: o Data warehousing o Lakehouse patterns o Batch and streaming data processing Databricks (Mandatory) o Databricks Lakehouse architecture o Delta Lake o Databricks Workflows o Unity Catalog (governance & security) Cloud & Data Engineering Experience on Azure (preferred) or equivalent cloud platforms Strong understanding of: o Data ingestion frameworks o ETL / ELT patterns o Data modeling (analytical & dimensional) Ability to guide data engineers on best practices ________________________________________ Delivery & Ways of Working Proven experience working in Agile / Scrum delivery models Comfortable delivering in fast-paced, iterative programs Experience working with offshore teams while engaging closely with onshore clients ________________________________________ Ability to: o Lead architecture discussions with senior client stakeholders o Explain complex technical concepts in simple business language Confidence to work with a demanding client environment ________________________________________ Consulting or systems-integrator background Experience delivering energy, utilities, or large enterprise data platforms Exposure to data governance, data quality frameworks, and regulatory environments
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