Field Specialist - Data Lakehouse
Core
Customer-facing Data Lakehouse Specialist designing and deploying cloud-native data lakehouse architectures for enterprise clients to enable BI and AI-ready analytics.
Role type
Mid-Senior Field Specialist (Sales Engineering)
Builds
Scalable, cloud-native lakehouse architectures and business outcomes for enterprise customers
Domain
Big Data, Data Warehousing, Cloud-Native Analytics, AI/ML Data Foundations
Deliverable
production ML models | product features
Required skills
Data lakehouse architecture, SQL engines (Trino, Hive, Impala), Open table formats (Apache Iceberg), Hybrid/Multi-cloud deployment, PoC/MVP execution, Data modeling, Query performance optimization, Technical presentation
Preferred skills
Pre-sales/technical consulting, Legacy warehouse migration (Snowflake, BigQuery, Redshift, Teradata), Modern data modeling (dbt, Star Schema), Open-source ecosystem (Spark, Airflow), Cloudera platform (CDW, CML, SDX)
Technologies
Apache Iceberg, Trino, Apache Hive, Apache Impala, Apache Spark, Airflow, Snowflake, Google BigQuery, Amazon Redshift, Teradata, dbt
Responsibilities
Lead customer engagements presenting lakehouse architectures, Support PoCs and solution sizing, Troubleshoot complex query performance and data federation issues, Drive technical enablement and best practices, Influence product roadmap via customer feedback, Act as community evangelist
Seniority
Mid-Senior, hands-on IC
