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

Highlights

• Lead end-to-end technical strategy from discovery to production deployment.
• Design scalable production-grade data engineering and real-time analytics solutions.
• Serve as trusted advisor to architects driving Databricks data and AI strategy.

What they offer

• Annual performance bonus
• Equity
• Comprehensive benefits and perks

Ideal candidate

A strategic senior architect who loves owning customer technical strategy and advising engineering leaders. You thrive in competitive, complex environments and care about turning data architecture into business impact.

Requirements

• 6+ years in solutions architecture, technical pre-sales, or senior hands-on technical role
• Deep hands-on experience with Apache Spark ecosystem, Kafka, batch ingestion and performance tuning
• Experience migrating EDW workloads across OLAP/OLTP systems with advanced query tuning and governance
• Strong coding proficiency in Python and SQL with live coding and debugging skills
• Deep expertise in distributed data systems architecture, streaming architectures and lakehouse patterns
• Experience with production deployments on AWS, Azure, or GCP including security and governance
• Proven ability to lead architecture discussions with senior technical stakeholders
• Bachelor's or Master's in Computer Science, Engineering, or quantitative discipline or equivalent experience
• Willingness to travel up to 30% as needed