Specialist Solutions Architect - Data Engineering & Warehousing (Financial Services)

As a Specialist Solutions Architect (SSA) – Data Engineering & Warehousing, you will guide strategic enterprise customers through cloud data engineering transformations across mission-critical use cases, collaborating with and supporting Solutions Architects using hands-on production experience with large-scale data engineering and lakehouse architecture. You will help organizations navigate technical evaluations, optimize business intelligence and analytics workloads, and align technical roadmaps with the Databricks Data Intelligence Platform. Reporting to the Specialist Field Engineering Manager, you will serve as a deep domain expert while strengthening technical leadership through mentorship and specialized training. This position can be remote.

• Provide technical leadership to help enterprise customers build, scale, and optimize big data and large-scale data warehousing workloads.
• Architect production-ready pipelines and demonstrate the Databricks Data Intelligence Platform through end-to-end performance testing, load testing, and optimization.
• Build expertise across data lake architecture, high-velocity streaming, automated ingestion workflows, and data observability.
• Partner with Solutions Architects on complex pre-sales engagements, including custom proofs of concept (POCs), workload sizing estimations, and custom architecture designs.
• Enable adoption by leading workshops, hackathons, and conference presentations while contributing to the Databricks community.

• 5+ years in a technical role with deep hands-on experience with the Apache Spark ecosystem (Spark Core, Spark SQL, Spark Streaming), message queues (e.g., Kafka), batch ingestion, performance tuning, and troubleshooting complex Spark workloads.
• Experience building or supporting data-driven use cases, predictive analytics pipelines, or customer analytics platforms.
• Experience migrating EDW workloads (e.g., legacy SQL, Redshift, Snowflake, Synapse, EMR) across OLAP/OLTP systems; advanced query tuning, governance, and MPP debugging.
• Data observability and security: telemetry, high-velocity log ingestion, anomaly detection, and familiarity with SIEM tools (e.g., Splunk, Elastic, Sentinel).
• Deep understanding of modern lakehouse architectures (Delta Lake, data modeling, BI integration) across major cloud platforms (AWS, Azure, or GCP).
• Production-level programming experience in SQL and at least one language among Python, Scala, or Java.
• Preferred: prior pre-sales or post-sales technical consulting experience. Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience. Willingness to travel up to 30% as needed.

Local pay range: $180,000—$247,500 USD. The total compensation package may also include eligibility for annual performance bonus, equity, and benefits. Actual compensation packages are based on job-related skills, depth of experience, relevant certifications and training, and specific work location.

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe.

Apply via the Databricks careers page for this role.