Specialist Solutions Architect - Data Engineering & Warehousing (Digital Native Business)Active$180K
The opportunity
FEQ227R367 As a Data Engineering and Warehousing Specialist Solutions Architect (SSA), you will lead the advanced technical strategy for your customers — owning complex architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical…
What you'll do
Own the end-to-end technical strategy for your accounts, from discovery: through production deployment and consumption growth
Lead complex architecture discussions: designing scalable, production-grade solutions spanning data engineering and real-time analytics
Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
Drive technical wins in competitive scenarios by demonstrating Databricks’: differentiation through custom-built solutions
Develop and declare an emerging technical specialization (archetype): becoming a go-to resource for your team in that domain
Orchestrate cross-functional resources (DSAs, SAs, Partners) to deliver: comprehensive solutions for complex customer needs
What they're looking for
- Influence product direction by providing structured feedback on customer requirements and competitive gaps
- + years in solutions architecture, technical pre-sales, or a senior hands-on: technical role in the following areas: Data and Software Engineering: Deep hands-on experience with Apache Spark™ ecosystem (Spark Core, Spark SQL, Spark Streaming), message queues (e.g., Kafka), batch ingestion, performance tuning, and troubleshooting complex Spark workloads
- Data Applications Engineering: Experience building or supporting data-driven use cases, predictive analytics pipelines, or customer analytics platforms
- Data Warehousing & Migration: Experience migrating EDW workloads (e.g., legacy SQL, Redshift, Snowflake, Synapse, EMR) across OLAP/OLTP systems; advanced query tuning, governance, and MPP debugging
