Why This Role Stands Out
This role offers a fantastic opportunity to lead the architecture and evolution of a cutting-edge enterprise data platform, driving significant impact across multiple operating companies. You'll thrive here if you're a seasoned data warehousing professional with deep Snowflake expertise, eager to collaborate with diverse teams and shape data strategy. Apply now to build scalable analytics solutions and advance your career in a key leadership position.
Quick Overview
Job Description
Must be located in the United States to even be considered
Please apply directly to the posting
We are seeking a Data Warehouse Lead / Snowflake Architect to lead the design, implementation, and evolution of our enterprise data platform. This individual will own the architecture of our Snowflake environment and help drive data strategy across multiple operating companies. You''ll partner with business and technology teams to deliver scalable, high-performing analytics solutions that support operational reporting, financial analysis, and executive decision-making.
What You''ll Do
- Lead the architecture and development of our Snowflake data warehouse and enterprise data platform.
- Design and implement scalable ETL/ELT pipelines to integrate data from ERP, financial, project management, and operational systems.
- Develop and maintain dimensional data models, data governance standards, and data quality processes.
- Partner with business stakeholders, analysts, and engineering teams to define reporting and analytics requirements.
- Optimize Snowflake performance, security, scalability, and cost management.
- Support enterprise reporting initiatives and enable self-service analytics through modern BI solutions.
- Troubleshoot complex data issues and serve as the technical lead for data platform initiatives.
- Create architecture documentation, data lineage, and best practices to support long-term platform growth.
What We''re Looking For
- 8+ years of experience in data warehousing, data architecture, or data engineering.
- Strong expertise with Snowflake architecture, administration, and optimization.
- Experience building cloud-based ETL/ELT solutions using tools such as dbt, Matillion, Fivetran, Azure Data Factory, Informatica, or similar.
- Advanced SQL development and data modeling experience.
- Strong understanding of data governance, data quality, security, and master data management.
- Experience integrating data from ERP, financial, and operational business systems.
- Ability to communicate effectively with both technical and business stakeholders.
Preferred Qualifications
- SnowPro or other Snowflake certifications.
- Experience with Power BI, Tableau, or similar analytics platforms.
- Background supporting enterprise data modernization or ERP transformation initiatives.
- Experience working in multi-company or acquisition-driven environments.
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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