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Enterprise Data Architect
Job in
Lakewood, Jefferson County, Colorado, USA
Listed on 2026-07-13
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-13
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
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.
- 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.
- Bachelor's degree
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