Related skills
cloud java data engineering python scala📋 Description
- Act as Solution Architect across data platform including data science, ML, BI; SME in data warehousing.
- Lead design/implementation of end-to-end data architectures focused on scalable data warehouses and pipelines.
- Build client relationships; deliver technical/business value with Account Executives.
- Scale best practices in data warehousing/engineering by authoring reference architectures and demo apps.
- Serve as trusted advisor on architecture, design, and Databricks platform adoption.
🎯 Requirements
- Expert generalist; switch contexts across data disciplines and audiences.
- Data warehousing spike: modelling (dim/3NF), tuning, lakehouse migrations.
- Data engineering spike: design/build ETL/ELT pipelines with Spark.
- Proficient in Python/Java/Scala; willing to learn Spark.
- Strong cloud analytics with hands-on proofs-of-concept and cloud platforms.
- Engage customers in technical sales; articulate value propositions.
- Build internal partnerships with account executives and teams.
🎁 Benefits
- Comprehensive benefits; regional details on the benefits page.
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