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Enterprise Data Architect

Job in Lakewood, Jefferson County, Colorado, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-13
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Define and drive enterprise data architecture strategy
  • Establish target-state data platform architectures and standards aligned to business priorities.
  • Translate business requirements into scalable data architecture solutions.
  • Design and govern enterprise data ecosystems
  • Architect data solutions and integration strategies across systems.
  • Ensure consistent access, integration, and consumption of data across platforms.
  • Lead data architecture governance and quality initiatives
  • Define standards for data quality, metadata, master data, and lifecycle management.
  • Establish data governance policies, compliance controls, and security practices.
  • Drive platform and technology decisions
  • Evaluate and recommend data platforms, tools, and emerging technologies.
  • Define standards for data integration, pipelines, and data services.
  • Collaborate across business, data, and technology teams
  • Partner with stakeholders to align data architecture with enterprise objectives.
  • Act as a bridge between data strategy and technical execution.
  • Provide leadership and oversight
  • Lead architecture reviews and ensure adherence to standards
  • Support delivery teams through the product lifecycle.
Requirements
  • Bachelor's degree, or equivalent work experience
  • Eight or more years of relevant experience
  • 15 + years of experience in data architecture, delivering large-scale enterprise data solutions within agile environments.
  • Strong expertise in modern data architectures, including data lakes, data warehouses, data marts, and master data management.
  • Deep understanding of data governance, privacy, and security standards
  • Proven ability to design and implement scalable data platforms, frameworks, and architecture patterns.
  • Hands‑on experience with leading data platforms such as Databricks, Snowflake, and enterprise data lakes.
  • Strong experience in solution architecture for cloud‑based data platforms.
  • Experience in data integration, data processing, streaming, and messaging technologies.
  • Strong analytical, problem‑solving, and organizational capabilities.
  • Excellent communication skills, with the ability to engage both technical and business stakeholders effectively.
Certifications & Qualifications
  • Bachelor's degree
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