Specialist Solutions Architect - Data Engineering & Warehousing (Financial Services)
Core
Guide strategic enterprise customers through cloud data engineering transformations and optimize large-scale data warehousing workloads using the Databricks Data Intelligence Platform.
Role type
Specialist Solutions Architect (Data Engineering & Warehousing)
Builds
Production-ready data pipelines, lakehouse architectures, and optimized analytics workloads for enterprise clients.
Domain
Financial Services / Cloud Data Engineering / Lakehouse Architecture
Deliverable
production ML models | product features
Required skills
Large-scale data engineering, streaming technologies (Spark Streaming, Kafka), batch ingestion, performance tuning, complex Spark workload troubleshooting, data lake architecture, high-velocity streaming, automated ingestion workflows, data observability, legacy EDW migration (Redshift, Snowflake, Synapse, EMR), advanced query tuning, MPP debugging, SQL, Python, Scala, or Java, modern lakehouse architectures (Delta Lake), BI integration, major cloud platforms (AWS, Azure, GCP), telemetry, log ingestion, anomaly detection, SIEM tools (Splunk, Elastic, Sentinel)
Preferred skills
Pre-sales or post-sales technical consulting experience
Responsibilities
Provide technical leadership for building, scaling, and optimizing big data workloads; architect production-ready pipelines and demonstrate platform value via performance/load testing; build expertise in specialized domains like data lake architecture and streaming; partner with Solutions Architects on pre-sales engagements including POCs and custom architecture designs; lead workshops, hackathons, and conference presentations to drive community adoption
Seniority
Senior, hands-on IC with mentorship responsibilities