Partner with Sales to grow platform usage.
Establish Lakehouse architecture as standard through account planning.
Build and present reference architectures and demos to land new users.
Advise on big data architectures, data pipelines, and ML projects; validate cloud integrations.
Promote Spark, Delta Lake, MLflow, and Koalas in developer communities.
Travel up to 30% to customer sites.

🎯 Requirements

3+ years in customer-facing pre-sales, technical architecture, or consulting.
Big data engineering: Spark, Hadoop, Kafka.
SQL, data warehousing & ETL (OLTP/OLAP/DSS).
Data Science & ML: pandas, scikit-learn, HPO.
Translate business needs to technology solutions; secure stakeholder buy-in.
Design, architect, and deliver production data systems.

🎁 Benefits

Comprehensive benefits; regional specifics linked in the posting.
Our Commitment to Diversity and Inclusion; equal opportunity employer.

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