Data Engineering experience, ETL design (Cloud), Snowflake experience, Data Vault based architectural knowledge and experience.
Streamsets, Prefect, Databricks experience and knowledge
Experience with Data Vaults
Ability to design ETL to get data from various on-prem and cloud sources to Snowflake
Oversee (from technical perspective) development of ETL and Data Vault in Snowflake, review code, guide data engineers on cloud based development.
Experience of dealing with large datasets
Oversee, review & drive the design & dev for data ingestion work.
Become the subject matter expert overall
Needs to know how data moves across clouds
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Keep a pulse on the job market with advanced job matching technology.
If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution.
Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right.
Surveys & Data Sets
What is the career path for a Cloud Technical Architect?
Sign up to receive alerts about other jobs on the Cloud Technical Architect career path by checking the boxes next to the positions that interest you.