Data & Analytics Architect: AI-Driven Solutions Leader

Presidio

United States

Remote

USD 140,000 - 200,000

Full time

14 days+

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Job summary

Presidio is seeking a Data & Analytics Architect to design and deliver data solutions that enable data-driven decisions for clients. You will lead multi-client engagements, guide data modeling, ETL, and governance, and provide hands-on mentoring across teams.

The role emphasizes Azure data engagements, scalable BI platforms, and a strong consulting mindset. The ideal candidate brings 7+ years in data architecture, extensive SQL experience, and a track record of shaping data strategies for

Qualifications

  • Bachelor's degree or equivalent experience in a related field.
  • 7+ years in data solution build and architecture roles.
  • 10+ years of advanced SQL knowledge across multiple data modeling patterns.
  • Experience defining and executing on a data strategy is a plus.

Responsibilities

  • Define data solution architecture, including data integration, data warehousing, and reporting frameworks.
  • Develop scalable and secure data solutions aligned with client objectives.
  • Oversee data modeling, ETL processes, data quality, and governance.
  • Collaborate with clients to translate business requirements into technical solutions.
  • Lead Azure data engagements and presales/scoping with engineers.

Skills

Data modeling
ETL processes
Client engagement
Data governance
Azure data solutions

Education

Bachelor's Degree or equivalent experience

Tools

Power BI
Tableau
Qlik
Looker
Azure

Job description

Presidio is seeking a Data & Analytics Architect to design and deliver data solutions that enable data-driven decisions for clients. You will lead multi-client engagements, guide data modeling, ETL, and governance, and provide hands-on mentoring across teams.

The role emphasizes Azure data engagements, scalable BI platforms, and a strong consulting mindset. The ideal candidate brings 7+ years in data architecture, extensive SQL experience, and a track record of shaping data strategies for

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