Tasks:
- * Build and maintain data pipelines
- * Define technical requirements with engineering, analytics, and business teams
- * Design and optimize enterprise-scale Databricks and lakehouse architectures
- * Establish data governance and security best practices
- * Improve platform efficiency
- * Integrate cloud data platforms
- * Mentor junior data engineers
- * Monitor and troubleshoot platform reliability
- * Tune platform performance
Perks/Benefits:
- + 401k matching
- + Dental insurance
- + Health insurance
Skills/Tech stack required:
[Apache Spark] [AWS] [Cloud Data] [Cloud data platform] [Cloud Data Platform Integration] [Cloud platform] [Databricks] [Data Governance] [Data Lakehouse] [Data Lakehouse Architecture] [Data platform integration] [Data Security] [Data Warehouse] [Data Warehouse Design] [Delta Lake] [ETL/ELT] [Google Cloud] [Google Cloud Platform] [Lakehouse Architecture] [Microsoft Azure] [Performance Tuning] [Platform integration] [Python] [Scala] [SQL] [Warehouse design]
Educational requirements:
N/A
Role(s):
[Architect] [Data Architect] [Databricks Architect] [Data Engineer] [Engineer]