Lead Data Architect for Enterprise AI and Data Platform

DGS Office of External Affairs

City of Albany (NY)

On-site

USD 110,000 - 140,000

Full time

5 days ago
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Job summary

The New York State Attorney General's Office seeks an Information Technology Architect 1 (Lead Data Architect) to lead enterprise data architecture across warehouses, lakes and marts. You will establish governance, secure access, and guide data platform strategies to support AI, analytics, and data-driven missions.

The role requires a strong background in data modeling and centralized architecture, with preferred certifications and AI/ML experience to advance enterprise capabilities.

Qualifications

  • Bachelor’s degree in CS/IT or related field with four years of IT experience.
  • Four years of data management solution architecture, governance, or warehousing experience.
  • Experience with data modeling: ER, ORM, and dimensional modeling.
  • Experience designing centralized data architecture solutions.
  • Preferred: industry certifications such as CDMP, AWS Solutions Architect, or Azure Data Engineer.
  • Preferred: experience supporting AI/ML workflows and data science platforms.

Responsibilities

  • Lead data architecture efforts for data warehouses, data lakes and data marts.
  • Establish data governance policies and secure, governed access across platforms.
  • Provide technical leadership on enterprise data solutions and analytics initiatives.

Education

Bachelor's degree in computer science, software engineering, IT or related field
Four years of broad IT experience

Tools

AWS
Azure
SQL

Job description

The New York State Attorney General's Office seeks an Information Technology Architect 1 (Lead Data Architect) to lead enterprise data architecture across warehouses, lakes and marts. You will establish governance, secure access, and guide data platform strategies to support AI, analytics, and data-driven missions.

The role requires a strong background in data modeling and centralized architecture, with preferred certifications and AI/ML experience to advance enterprise capabilities.

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