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

📋 Description

• Guide strategic enterprise customers through cloud data engineering transformations.
• Collaborate with Solutions Architects on large-scale data engineering, lakehouse architectures, and
• Support customers in optimizing BI/analytics workloads and align technical roadmaps with Databricks
• Remote work option; travel up to 30% as needed.

🎯 Requirements

• 5+ years in a technical role with deep expertise across data engineering, data warehousing, and
• Hands-on experience with streaming (Spark Streaming, Kafka), batch ingestion, performance tuning
• Experience with data-driven use cases, predictive analytics pipelines, or customer analytics
• Knowledge of modern lakehouse architectures (Delta Lake) and cloud platforms (AWS, Azure, GCP).
• Production-level SQL and programming in Python, Scala, or Java; pre-sales or technical consulting
• Bachelor’s degree in CS/IS/Engineering or equivalent; willing to travel up to 30%.

🎁 Benefits

• Remote-friendly role with potential travel to client sites.
• Pay transparency with regional ranges; eligible for performance bonus and equity.
• Access to Databricks benefits as part of regional offerings.