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Eliassen Group

Data Warehouse Architect & AI Analytics Lead

Eliassen Group

Published 30 Dec 2025
USA
140K - 150K USD Annual
Remote
Onsite

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Role Highlights

Languages used

SQL
Python

Key skills

Machine Learning
Data Infrastructure
Data Warehousing
AI
Modelling
ETL
ELT
Operations

Tools, Libraries and Frameworks

HTTP
Vault
SnowFlake
Power BI
SalesForce

Description

\\\\Data Warehouse Architect & AI Analytics Lead\\\\ \\\\Anywhere\\\\ \\\\Type:\\\\ Permanent \\\\Category:\\\\ IT \\\\Workplace Type:\\\\ Remote \\\\Date Posted:\\\\ 12/01/2025 \\\\Shortcut:\\\\ \\+ Description \\+ Recommended Jobs \\\\The Role\\\\ Eliassen Group is seeking a \\\\Data Warehouse Architect & AI Analytics Lead\\\\ to join our high-performing team. This is a strategic, hands-on role focused on evolving our data infrastructure and enabling predictive, AI-driven analytics. The ideal candidate will bring deep expertise in data warehousing, cloud-based solutions, and machine learning, and will collaborate across business and technical teams to deliver scalable, impactful data solutions. \\\\Responsibilities\\\\ \\+ Lead the design and implementation of extensions to a Data Vault 2.0-modeled data warehouse. \\+ Architect and pilot predictive analytics initiatives, including machine learning and LLM-based solutions. \\+ Design and implement Star and Snowflake schemas to support BI reporting. \\+ Maintain and enhance automated data loading routines. \\+ Collaborate with business stakeholders to gather and refine data requirements. \\+ Develop and maintain cloud-based data solutions. \\+ Apply best practices in data modeling, ETL/ELT processes, and data warehousing. \\\\Requirements\\\\ \\+ 7+ years of experience in data warehouse design and implementation. \\+ 3+ years of experience with Data Vault 2.0 modeling, ETL/ELT, Snowflake and DBT. \\+ 7+ years of experience with Star and Snowflake schema design. \\+ Excellent SQL and Python skills with 5+ years of experience. \\+ 2+ years of experience with DBT (data build tool). \\+ Strong communication skills and ability to work directly with business users. \\+ 10+ years of experience with cloud-based data solutions. \\\\Preferred Skills\\\\ \\+ Experience with VaultSpeed and PowerBI. \\+ Familiarity with staffing industry operations and Salesforce platform. \\+ Experience building machine learning and/or LLM-based predictive analytics solutions. \\\\What We Offer\\\\ \\+ Competitive compensation and benefits. \\+ Flexible work environment (remote, hybrid, or onsite). \\+ Opportunity to work on cutting-edge AI and data warehousing projects. \\+ Collaborative and supportive team culture. \\+ Professional growth and development opportunities Base salary: $140,000 - $150,000 \This position includes additional variable compensation in the form of an annual/quarterly bonus opportunity.\\ \W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans, some with an Employer HSA contribution), dental, vision, pre-tax accounts, other voluntary benefits, basic life and disability insurance, 401(k) with match, and PTO consisting of 10 holidays, 5 sick days (or more if required by law in the state/locality where you work), 15+ days of vacation (based on tenure), bereavement leave, and 6-8 weeks paid maternity/disability leave and 2-4 weeks paid parental leave (based on tenure).\\

Required Qualifications and Skills

The role requires over 7 years of experience in data warehouse design and implementation. Candidates need at least 3 years of experience with Data Vault 2.0 modeling, ETL/ELT, Snowflake, and DBT. Additionally, 7 years of experience with Star and Snowflake schema design is necessary. The position also requires excellent SQL and Python skills with over 5 years of experience, and 2+ years of experience with DBT. A minimum of 10 years of experience with cloud-based data solutions is also a requirement. Strong communication skills and the ability to work directly with business users are essential.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

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Eliassen Group

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