Position Details
About this role
This role involves architecting and developing scalable cloud data warehouse solutions at GM Energy, focusing on IoT data integration, data lake management, and enterprise analytics.
Key Responsibilities
- Architect cloud data solutions
- Develop data pipelines
- Manage data lake operations
- Mentor junior engineers
- Ensure data quality and security
Technical Overview
The technical environment includes Snowflake, Databricks, Apache Spark, Kubernetes, and Iceberg, supporting large-scale data ingestion, processing, and storage for energy and IoT applications.
Ideal Candidate
The ideal candidate is a senior data architect or engineer with over 10 years of experience in designing cloud data warehouses, proficient in Snowflake, Databricks, and Apache Spark, with strong leadership and mentorship skills in enterprise data environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 10 years of experience in enterprise data architecture, No experience with cloud data warehouses, Lack of hands-on experience with Apache Spark, No experience with IoT data integration
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