Specialist Solutions Architect - Data Engineering & Observability

📋 Description

• Guide customers through data engineering and warehousing transformations.
• Collaborate with Solutions Architects on large-scale data warehousing and lakehouse.
• Lead as a data engineering and warehousing expert; mentor and train others.
• Architect production pipelines with end-to-end testing and optimization.
• Become a technical expert in data lake tech, streaming, or ingestion.
• Assist Solution Architects with advanced POC content, workload sizing, and architectures.
• Provide tutorials and training to boost community adoption.
• Contribute to the Databricks Community.

🎯 Requirements

• 5+ years in a technical role with deep data engineering and warehousing expertise.
• Ingestion and streaming tech (Spark Streaming, Kafka); performance tuning and debugging.
• Data Applications Engineering: data-driven use cases (risk modelling, fraud, LTV).
• Data Observability: SIEM tools (Splunk, Elastic, Sentinel) and log telemetry.
• Proven track record maintaining and scaling production data systems.
• ETL/ELT design; pipelines (batch, CDC, streaming); Delta Lake; governance.
• Production programming in SQL and Python/Scala/Java.
• Cloud familiarity with AWS, Azure, or GCP.
• Bachelor's degree in CS/IS/Engineering or equivalent.
• Prefer customer-facing pre- or post-sales experience.
• Willing to travel up to 30%.

🎁 Benefits

• Pay range transparency with location-specific ranges. Details linked in the posting.
• Comprehensive benefits and region-specific perks. See the posting for more details.