Snowflake Data ArchitectWashtenaw County, MI (Hybrid)
$160,000–$180,000 Base Salary
Overview: Senior?level Snowflake Data Architect needed to design and deliver modern, cloud?native data and AI platforms for enterprise clients.
Responsibilities:- Design enterprise data architectures (lakehouse, warehouse, streaming, AI/ML)
- Lead Snowflake?centric data platform implementations
- Architect across Azure, AWS, Google Cloud Platform, and Databricks
- Deliver data strategy roadmaps and technical blueprints
- Enable DataOps and MLOps best practices
Qualifications- 10+ years in data architecture or analytics consulting
- Deep Snowflake expertise
- Cloud platform experience (Azure, AWS, or Google Cloud Platform)
- dbt, SQL, Python, and data modeling skills
- Strong client?facing background
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.
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