Serve as the embedded technical lead for Databricks customer engagements
Own Databricks platform architecture, design decisions, and technical standards
Lead delivery of complex data pipelines and analytics workloads on Databricks
Provide deep expertise in Apache Spark internals, optimization, and scalability
Guide customers on Databricks best practices across ingestion, transformation, and analytics
Partner closely with Databricks Professional Services leadership on delivery strategy
Mentor and oversee partner and customer delivery teams
Ensure solutions meet Databricks PS governance, security, and quality standards
Drive adoption, platform maturity, and long-term customer success

10+ years of experience in consulting or related client facing roles
7+ years of experience in data engineering or related technical roles
Databricks Data Engineering Professional certification
6+ Databricks projects delivered with hands-on architectural leadership
Deep expertise in Apache Spark, including runtime internals and optimization
Strong experience designing large-scale, distributed data platforms
Advanced SQL and Python expertise (Scala strongly preferred)
Deep working knowledge of at least one major cloud platform (AWS, Azure, or GCP)
Experience operating in regulated or enterprise-scale environments

Databricks Solutions Architect

Key skills