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Data Architect

Job in Kansas City, Jackson County, Missouri, 64101, USA
Listing for: Theuniversityunion
Full Time position
Listed on 2026-07-08
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 110000 - 140000 USD Yearly USD 110000.00 140000.00 YEAR
Job Description & How to Apply Below
  • Location 9201 Ward Parkway, Kansas City, MO, 64114, United States
ABOUT THE COMPANY

Bluebird Fiber is a premier fiber telecommunications provider of internet, data transport, and other services to carriers, businesses, schools, hospitals, and other enterprises in the Midwest. To learn more, please visit

POSITION PURPOSE

We are seeking a highly skilled and strategic Data Architect to lead our data governance, security, and management initiatives. This senior role will be responsible for designing and implementing the organization's enterprise data architecture, ensuring that our data is secure, reliable, and accessible for business-critical functions. The ideal candidate is a proactive leader who can define data strategy, enforce best practices, and collaborate with cross-functional teams to align our data ecosystem with business goals.

Requirements

EDUCATION AND EXPERIENCE
  • Bachelor’s or master’s degree in Computer Science, Information Technology, or a related technical field.
  • 10+ years of hands‑on experience in data architecture, data modeling, and data governance, with a proven track record of designing and implementing complex data ecosystems. Experience working in regulated industries is a plus.
  • Proven experience (8+ years) designing and implementing enterprise-level data architectures.
  • Extensive experience with data modeling, data warehousing, and modern data platforms (e.g., cloud environments like AWS, Azure, or GCP).
  • Deep expertise in data modeling, data warehousing, database technologies (SQL, No

    SQL), big data technologies (e.g., Spark), and modern cloud platforms (e.g., AWS, Azure, GCP).
  • Deep expertise in data governance and security principles, including regulatory compliance frameworks.
  • Strong knowledge of how to structure data for machine learning and AI workloads, including experience with MLOps platforms.
  • Hands‑on experience with data classification and data cataloging tools (e.g., Collibra, Alation).
  • Excellent communication, interpersonal, and leadership skills, with the ability to influence and build consensus across the organization.
  • Professional certifications in data architecture, data governance, or cloud platforms preferred.
  • Experience with big data technologies (e.g., Hadoop, Spark) preferred.
  • Familiarity with data integration and ETL/ELT frameworks preferred.
SKILLS AND ABILITIES
  • Excellent communication, interpersonal, and leadership skills, with the ability to influence and build consensus across the organization.
  • Highly motivated, self‑starter with a strong sense of duty
  • Continual learner, willing to attend workshops, seminars, etc. to maintain skills
  • Mature critical thinking, analytical, and problem‑solving skills with the ability to troubleshoot and devise a course of corrective action
  • Highly organized and efficient with the ability to multitask, prioritize tasks appropriately
  • Goes above and beyond to create outstanding product experiences
  • Productive without sacrificing quality, maintainability, accessibility, or performance; perform duties at a high degree of accuracy
  • Encourage giving & receiving feedback, while handling such in a positive and respectful manner
PRINCIPAL ACCOUNTABILITIES
Data Governance, Strategy and Architecture
  • Define and drive the organization's overall vision, data strategy, roadmap, and architecture vision. This includes the data AI architecture vision, strategy, and roadmap. This includes the design of scalable data lakes, data warehouses, and data fabric architectures.
  • Establish and enforce data governance policies and standards to ensure data quality, consistency, and compliance with all relevant regulations (e.g., GDPR, CCPA). Lead the implementation of a comprehensive data governance framework, including data quality management, data lineage tracking, and master data management (MDM). Collaborate with data owners and stewards across business units to establish clear roles, responsibilities, and accountability for data assets.
  • Establish clear rules and policies governing the responsible usage of data within AI and ML models, including documentation of data lineage for model training. Design data infrastructure specifically optimized for AI workloads, including…
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