Sr. Solutions Engineer

📋 Description

• Partner with Sales to grow platform usage across accounts.
• Establish Lakehouse architecture as standard data architecture.
• Build and present reference architectures and demos for prospects.
• Advise on big data architectures, pipelines, and ML projects.
• Promote Spark, Delta Lake, MLflow, Koalas in developer communities.

🎯 Requirements

• 4+ years in customer-facing pre-sales, engineering, or consulting.
• Big data engineering with Spark, Hadoop, Kafka.
• Data warehousing and ETL (SQL, OLTP/OLAP/DSS).
• Data science and ML (pandas, scikit-learn).
• Fluent in SQL and database technologies.
• Public cloud experience (AWS, Azure, or GCP).
• Willing to travel up to 30%.

🎁 Benefits

• Comprehensive benefits package.
• Opportunities for career growth.
• Diversity and inclusion commitment.
• Region-specific benefits details via our page.