Data Warehouse Architect
Title: Data Warehouse Architect
Location: Washington, DC (4 days on site in DC)
Contract W2 only—no C2C.
Job Description:
data warehouse implementation on azure databricks
Minimum 15+ years in data warehousing, data engineering, and analytics.
• Minimum 8+ years of Cloud data architecture with at least 4 + years on Azure
• Expertise in cloud data architecture and Azure Databricks. (5-7 years experience in Data with one large program from end to end, 15 years experience) 4
Need someone who has worked as a data architect/data engineer—hands-on current technology along with delivery.
• High proficiency in developing complex ETL data pipelines using Databricks with PySpark, managing & maintaining data lakes & lakehouses (CDC & SCD). Experience in Unity Catalog is preferred.
• Experience integration with Power BI and defining the approach for data self-service
• Experience developing progressive information management solutions and end-to-end development life-cycle support and SDLC processes
• Articulates clear objectives and qualitative/quantitative measures of success
• Extensive experience in aligning application development with business needs.
• Exceptional analytical and problem-solving skills.
Title: Data Warehouse Architect
Location: Washington, DC (4 days on site in DC)
Contract W2 only—no C2C.
Job Description:
data warehouse implementation on azure databricks
Minimum 15+ years in data warehousing, data engineering, and analytics.
• Minimum 8+ years of Cloud data architecture with at least 4 + years on Azure
• Expertise in cloud data architecture and Azure Databricks. (5-7 years experience in Data with one large program from end to end, 15 years experience) 4
Need someone who has worked as a data architect/data engineer—hands-on current technology along with delivery.
• High proficiency in developing complex ETL data pipelines using Databricks with PySpark, managing & maintaining data lakes & lakehouses (CDC & SCD). Experience in Unity Catalog is preferred.
• Experience integration with Power BI and defining the approach for data self-service
• Experience developing progressive information management solutions and end-to-end development life-cycle support and SDLC processes
• Articulates clear objectives and qualitative/quantitative measures of success
• Extensive experience in aligning application development with business needs.
• Exceptional analytical and problem-solving skills.
