
Enterprise Data Architect
1 day ago
- Design and implement scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools.
- Leverage data virtualization, ETL, and semantic layers to balance the need for unification, performance, and data transformation with the goal of reducing data proliferation.
- Support development planning by breaking down features into work that aligns with the architectural direction roadmap.
- Participate in pilots and proofs-of-concept for new patterns.
Our ideal candidate will have a deep understanding of data architecture, including data virtualization, ETL, and semantic layers. They should also have experience working with cloud platforms (AWS), data lakes, and data warehouses. In addition, they should be skilled in architecting scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools.
Required Skills and Qualifications- Deep understanding of data architecture, including data virtualization, ETL, and semantic layers.
- Experience working with cloud platforms (AWS), data lakes, and data warehouses.
- Skilled in architecting scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools.
- Strong knowledge of data governance, security, and compliance within Databricks and Power BI environments.
- Able to design robust data models and processing layers that support both analytical processing and operational reporting needs.
- Opportunity to work on high-profile projects with a talented team.
- Competitive salary and benefits package.
- Professional growth and development opportunities.
- Collaborative and dynamic work environment.
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