Data Architect – ONSITE IN KANSAS , MO

Job Overview

We cannot use subvendors or visa candidates for this role!! No sponsorship available for this position.

TEKsystems is an Allegis Group company and a leading provider of business and technology services.

Client provides high-speed fiber optic internet, data transport, and data center solutions to businesses, schools, hospitals, and government agencies. In the past few years TEKsystems has become a trusted partner to help scale their technology workforce. They are seeking a highly skilled and strategic Data Architect to lead their data governance, security, and management initiatives surrounding their recent acquisition. This senior‑level role will be responsible for designing and implementing the organization’s enterprise data architecture, ensuring that their 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 their data ecosystem with business goals.

• data architecture
• data modeling
• data warehouse
• aws
• azure
• cloud
• lambda
• artificial intelligence

• data architecture
• data modeling
• data warehouse
• aws
• azure
• cloud

• 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 Google Cloud Platform).
• 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, Google Cloud Platform).
• 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.
• 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.

Expert Level

Contract to Hire position based out of Kansas City, MO.

The pay range for this position is $70.00 – $85.00/hr eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
Medical, dental & vision;
Critical Illness, Accident, and Hospital; 401(k) Retirement Plan – Pre‑tax and Roth post‑tax contributions available;
Life Insurance (Voluntary Life & AD&D for the employee and dependents);
Short and long‑term disability;
Health Spending Account (HSA);
Transportation benefits;
Employee Assistance Program;
Time Off/Leave (PTO, Vacation or Sick Leave).

Fully onsite position in Kansas City, MO.

This position is anticipated to close on Dec 30, 2025.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information, or any characteristic protected by law.