Specialist Solutions Architect

📋 Description

• Lead customers to successful big data and data warehousing deployments.
• Architect production-grade data pipelines and optimize end-to-end performance.
• Become a technical expert in data lake tech, streaming, or ingestion workflows.
• Assist Solutions Architects with PoC content, workload sizing, and architectures.
• Provide tutorials and training to boost community adoption (hackathons).

🎯 Requirements

• 8+ years in a technical role with deep data engineering and warehousing expertise.
• Data engineering: ingestion, streaming (Spark, Kafka), tuning.
• Data Applications Engineering: building data-driven use cases (risk modeling, fraud, LTV).
• Data Warehousing: advanced query tuning, governance, migrating EDW workloads.
• Data Observability: SIEM tools (Splunk, Elastic, Sentinel) and anomaly detection.
• Production programming: SQL plus Python/Scala/Java; 3+ years customer-facing.
• Degree in CS/IS/Engineering; willingness to travel up to 30%.

🎁 Benefits

• Benefits information available via linked document.