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Specialist Solutions Architect - Data Engineering & Warehousing - Databricks
Solutions Architect
Lead customers through cloud data engineering and warehousing transformations, providing expert guidance on large‑scale Spark pipelines, Delta Lake, and the Databricks Lakehouse platform on AWS.
About the role
Key Responsibilities
- Partner with customers to design, prototype, and implement end‑to‑end data engineering solutions on the Databricks Lakehouse platform.
- Provide deep technical guidance on Apache Spark, Delta Lake, and SQL‑based analytics for business intelligence workloads.
- Collaborate with internal Solutions Architects to align customer roadmaps with the Databricks Data Intelligence Platform.
- Conduct proof‑of‑concepts, performance tuning, and production readiness reviews for large‑scale data pipelines.
- Deliver technical workshops, best‑practice guidance, and documentation to accelerate customer adoption.
Requirements
- 5+ years of hands‑on experience building and operating production data pipelines using Spark, Python, and SQL.
- Strong expertise in lakehouse concepts, Delta Lake, and cloud data platforms (AWS preferred).
- Proven ability to translate business requirements into scalable, secure data engineering architectures.
- Excellent communication skills with a track record of customer‑facing technical consulting.
- Experience guiding teams through migration, optimization, and operationalization of BI workloads.
Skills
pythonapache sparksqlaws