Cloud Data Architect (Databricks)

We are looking for an experienced Cloud Data Architect (Databricks) to lead the design and delivery of modern, enterprise-scale cloud data solutions., * Design end-to-end cloud data and analytics architectures using Databricks.

• Lead enterprise Databricks Lakehouse and Medallion Architecture implementations.
• Develop scalable data ingestion, transformation, ETL/ELT and data engineering solutions.
• Define data architecture, modeling, governance and security strategies.
• Work with Delta Lake, Unity Catalog and modern Databricks capabilities.
• Provide technical advisory and architecture guidance to enterprise clients.
• Conduct discovery workshops and translate business requirements into technical solutions.
• Develop architecture proposals, solution approaches and technical presentations.
• Support presales, RFP/RFI responses and solution demonstrations.
• Lead technical teams and mentor data engineers and architects.
• Evaluate emerging cloud data technologies and recommend appropriate solutions.

The ideal candidate will have strong hands-on Databricks expertise along with experience in cloud data architecture, Lakehouse/Medallion architecture, data engineering, governance, and enterprise data modernization.

This is a highly client-facing architecture role involving advisory, solution design, discovery workshops, technical leadership, and presales., * 14+ years of experience in data analytics, data engineering, cloud data technologies or related fields.

• 5+ years of strong hands-on Databricks experience.
• Strong experience with Databricks Lakehouse / Medallion Architecture.
• Experience with Delta Lake and Unity Catalog.
• Strong understanding of cloud data platforms, particularly Azure.
• Experience with Data Mesh, Data Fabric or modern enterprise data architecture.
• Strong SQL, Spark/PySpark and data engineering knowledge.
• Experience designing scalable data pipelines and enterprise data platforms.
• Strong understanding of data governance, security and architecture best practices.
• Excellent communication and stakeholder-management skills.
• Experience working directly with enterprise clients., * Databricks RSA (Resident Solution Architect) certification/experience - highly preferred.
• Databricks Professional or Associate certifications.
• Client advisory and consulting experience.
• Strong presales and solutioning experience.
• Experience preparing proposals, RFP/RFI responses and technical presentations.
• Experience with large-scale cloud data modernization programs.
• Exposure to AWS, Google Cloud Platform or other cloud platforms in addition to Azure., If you have strong hands-on Databricks architecture experience and are interested in building enterprise-scale cloud data solutions, please share your updated resume along with your location, work authorization, total years of Databricks experience, and Databricks certifications, especially RSA.