Solutions Engineer
Core
Technical pre-sales and post-sales engineer driving enterprise deals for a real-time data streaming platform by running proof-of-value engagements and shaping technical positioning.
Role type
Senior Solutions Engineer (Enterprise Data Platform)
Builds
Real-time data replication platform for data warehouses and lakes
Domain
Data Engineering / Real-time Streaming / Cloud Infrastructure
Deliverable
production ML models | product features | client delivery
Required skills
RDBMS troubleshooting (Oracle, SQL Server, PostgreSQL, DB2), cloud data warehouse knowledge (Snowflake, Iceberg, Databricks, Redshift), data stack familiarity (Kafka, dbt, BI), cloud infrastructure (AWS, GCP, Azure), networking, structured project management for POCs
Preferred skills
Experience with log-based CDC, schema evolution, real-time replication patterns, AI/ML workflow optimization
Technologies
AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, DataDog, Oracle, SQL Server, DB2, PostgreSQL
Responsibilities
Run structured proof-of-value engagements with clear technical success criteria, partner with AEs to drive deals from discovery to close, whiteboard solutions and guide customers through integration design, translate complex technical concepts into business impact, surface field insights to Product and Engineering, ensure seamless customer handoffs to post-sale support
Seniority
Senior, hands-on IC