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Data Services Technical Lead

Job in Wichita, Sedgwick County, Kansas, 67232, USA
Listing for: TEC Systems Group, Inc.
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 110000 - 135000 USD Yearly USD 110000.00 135000.00 YEAR
Job Description & How to Apply Below

Wichita, Kansas Metropolitan Area

We’re seeking a hands‑on Data Services – Technical Lead to drive technical projects and guide our talented team of data engineers and analysts. This role combines technical project management with team leadership, ensuring we deliver high‑quality data solutions to our diverse client base across industrial and enterprise sectors.

What You’ll Do Lead Project Delivery
  • Manage multiple data projects simultaneously, from initial scoping through final delivery.
  • Coordinate with data engineers, analysts, and clients to ensure alignment on objectives.
  • Track project timelines, budgets, and resources using tools like
  • Document requirements, maintain change logs, and facilitate client meetings.
  • Provide hands‑on technical support when needed.
Guide the Technical Team
  • Mentor junior data engineers and analysts in best practices.
  • Conduct code reviews and ensure quality standards.
  • Help team members grow their skills in Power BI, MS Fabric, Azure, SQL, and emerging AI tools.
  • Foster collaboration between team members on complex projects.
  • Report team metrics and project status in biweekly meetings.
Drive Technical Excellence
  • Stay current with data technologies.
  • Contribute to solution architecture and technical decision‑making.
  • Help develop reusable frameworks and best practices.
  • Support proposal development with technical writing and scoping.
What We’re Looking For Technical Skills
  • Proven expertise in leading Data Warehousing and Analytics efforts, including designing and building data pipelines to transform transactional data into star‑schema models and developing governed analytical data models.
  • Experience with data platforms:
    Azure Data Factory, Synapse, SSIS, DBT, Snowflake, SQL Server.
  • Familiarity with industrial systems (OSI PI, Ignition) is a plus.
  • Understanding of AI/ML applications in business contexts.
  • Ability to write technical documentation and reports.
Leadership & Soft Skills
  • 3+ years managing technical projects or teams.
  • Excellent communication with both technical and non‑technical audiences.
  • Detail‑oriented with strong organizational skills.
  • Ability to juggle multiple priorities without dropping balls.
  • Collaborative mindset with a drive for results.
Qualifications / Skills
  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
  • Experience in client‑facing project delivery.
  • PMP certification is a plus but not required.
Why Join TEC?
  • Growth Opportunity:
    Be part of building our expanding data practice.
  • Variety:
    Work with clients from Fortune 500 manufacturers to local enterprises.
  • Culture:
    Family‑oriented company with 40+ years of stability.
  • Technology:
    Champion modern solutions across a variety of enterprises.
  • Competitive salary based on experience.
  • 401(k) with company match.
Affirmative Action/EEO Statement

TEC Systems Group, Inc. is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, marital or civil partnership status, pregnancy, age, disability, veteran status or any other protected factor under federal, state, or local law.

This job description is not intended to be all‑inclusive. All personnel may be required to perform duties outside of their normal responsibilities from time to time, or as needed.

Base pay range: $110,000 – $135,000 per year.

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Information Technology

Industries: Data Infrastructure and Analytics, Automation Machinery Manufacturing

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