Join Bayforce in designing and delivering a cloud data warehouse and enterprise analytics platform. This role requires 7+ years of experience in data engineering, blending data warehouses, and working with cloud data architecture. SAP S/4 experience is highly preferred.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
**NO 3rd Party or Sponsorship!
Duration: 6 months + contract to hire
Location: Remote
Exciting opportunity to join a company experiencing exponential growth who is doing a greenfield SAP S/4 Rise implementation and will be blending their existing data warehouse with Datasphere.
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We are looking for a Cloud Data Architect to help design and deliver the data warehouse and enterprise analytics platform. This will require blending an existing data warehouse in Netezza and using Databricks and Datasphere.
You will be responsible for leading the design of a cloud data warehouse and data lakehouse architecture to ingest large-scale transactional and operational data; define integration strategies; develop a reference architecture leveraging Databricks Delta Lake; implement semantic modeling to unify reporting across Tableau, Power BI, and SAP Analytics Cloud; oversee ingestion pipelines; optimize query performance; etc
Qualifications
- 7+ years in data engineering building data warehouses and working with cloud data architecture (must have been involved in standing up data warehouses)
- Experience blending data warehouses is required.
- Must have data warehouse migration and conversion experience.
- SAP S/4 experience is highly preferred and will be one of the primary hiring considerations outside of the data architecture experience. SAP ECC will be considered as well as a secondary option. We will also consider someone who has strong consulting experience across different environments blending, migrating, and converting data warehouses and has strong Databricks experience.
- Azure experience is preferred but AWS or GCP experience will suffice.
- For someone with SAP, Databricks is preferred but similar tools experience is acceptable.
- Strong experience in data modeling required
- Strong SQL experience required
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