Specialist Solutions Architect - Data Engineering & Warehousing (Digital Native Business)

📋 Description

• Guide enterprise customers through cloud data engineering transformations.
• Collaborate with Solutions Architects on data lakehouse architecture for large-scale workloads.
• Navigate technical evaluations, BI/analytics optimization, and roadmap alignment with Databricks
• Remote work option available.

🎯 Requirements

• 5+ years in technical roles with deep data engineering expertise.
• Data & Software Engineering: Spark (Spark Core/SQL/Streaming), Kafka, batch ingestion, tuning
• Data Applications Engineering: data-driven use cases, analytics pipelines.
• Data Warehousing & Migration: OLAP/OLTP migration across EDW platforms, tuning, governance, MPP
• Observability & Security: telemetry, log ingestion, SIEM tools (Splunk, Elastic, Sentinel).
• Lakehouse architecture across AWS/Azure/GCP; production SQL and Python/Scala/Java skills.

🎁 Benefits

• Competitive pay with regional ranges; see pay transparency section for details.
• Comprehensive benefits, time off, and professional development.