Cloud Data Architect

Bayforce • Greater Tampa Bay Area
Remote
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AI Summary

Join Bayforce in designing and delivering a cloud data warehouse and enterprise analytics platform. Lead the design of a cloud data warehouse and data lakehouse architecture. Develop a reference architecture leveraging Databricks Delta Lake.

Key Highlights
Cloud Data Architect
Cloud Data Warehouse Design
Databricks Delta Lake
Key Responsibilities
Lead the design of a cloud data warehouse and data lakehouse architecture
Develop a reference architecture leveraging Databricks Delta Lake
Implement semantic modeling to unify reporting across Tableau, Power BI, and SAP Analytics Cloud
Technical Skills Required
Cloud Data Architecture Databricks Delta Lake Data Warehousing SAP S/4 Azure AWS GCP Snowflake SQL
Benefits & Perks
Fully remote work
6- Month Contract-to-Hire
Nice to Have
SAP ECC
Strong consulting experience across different environments blending, migrating, and converting data warehouses

Job Description


*We can't work with 3rd parties or provide sponsorship for this role**


Role Title: Cloud Data Architect

Employment Type: 6- Month Contract-to-Hire

Preferred Location: Fully remote - ET or CT time zone preferred


Role Description:

  • Exciting opportunity to join a company experiencing exponential growth who is doing a greenfield SAP S/4 Rise implementation.


  • We are looking for a Cloud Data Architect to help design and deliver the data warehouse and enterprise analytics platform.


  • 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.


Requirements:

  • 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
  • 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.
  • Databricks and Snowflake preferred but similar tools experience is acceptable.
  • Strong experience in data modeling required
  • Strong SQL experience required


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