Data Warehouse BI Architect
canyon associatesEatontown (NJ)
About the role
Strong architectural design skills Experience with Fabric/Azure Experience working with multiple pipelines Strong Architectural Framework experienceETL design tables experience Strong Python, PySPARK, Azure and have worked on a data warehouse Data Warehouse Data Engineer to build, enhance and optimize enterprise analytics. Will design and develop ETL/ELT pirpelines, Lakehouse/Warehouse models and curated datasets. Work closely with BI analysts, BI developers, architects and stakeholders. Data engineering and pipeline development Data Modeling and optimization Data quality, Governance and securityCI/CDAzure Lakehouse One Lake Microsoft Fabric
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
More like this
