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Manager - Data Architecture & Engineering

Job in Overland Park, Johnson County, Kansas, 66213, USA
Listing for: Compass Minerals America Inc
Full Time position
Listed on 2026-05-16
Job specializations:
  • IT/Tech
    Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Manager - Data Architecture & Engineering

Job Category: Information Technology

Requisition Number: MGRDA
002404

  • Posted :
    May 11, 2026
  • Full-Time
  • Hybrid

Overland Park KS, 9900 W 109th St, Suite 100, Overland Park, KS 66210, USA

Summary

The Data Architecture & Engineering Manager is responsible for the design, implementation, and operational excellence of the enterprise data platform. This role owns the overall data architecture and leads a team of data engineers as direct reports responsible for building and maintaining data solutions. The role combines strategic ownership of data architecture with hands on leadership of data engineering practices, ensuring a scalable, reliable, and well governed analytics environment.

The manager establishes architectural standards, oversees medallion architecture implementation, and ensures high quality data transformations.

Essential Job Functions

Include but are not limited to the following:

  • Own and evolve the enterprise data architecture within Microsoft Fabric, including: lake houses, SQL endpoints, data warehouses, and the medallion architecture (Bronze, Silver, Gold)
  • Define and maintain enterprise data architecture principles that support scalability, governance, security, and evolving business needs across current and future technologies.
  • Establish and maintain the enterprise AI/ML data architecture strategy, ensuring data platforms, models, and pipelines effectively support machine learning, advanced analytics, and emerging AI use cases with appropriate scalability, security, and governance.
  • Evaluate and recommend data technologies, tooling, and architectural patterns to ensure long term platform sustainability and alignment with organizational strategy.
  • Act as the primary authority on data architecture decisions, balancing technical best practices with business, cost, and operational considerations.
  • Partner with analytics team and business stakeholders to ensure data models support reporting, analytics, and advanced use cases.

(Management reserves the right to add or modify the duties and responsibilities at any time.)

Data Engineering Leadership
  • Lead, mentor, and develop data engineering direct reports, providing technical guidance and setting clear priorities.
  • Assign and oversee engineering work related to data pipelines, transformations, and platform maintenance.
  • Establish and enforce engineering best practices including code quality standards, version control, testing and validation, and documentation
  • Perform design reviews and provide hands on guidance for complex pipelines or architectural decisions.
Data Pipelines & Transformations
  • Oversee data ingestion and transformation processes across the medallion layers.
  • Ensure data transformations are reliable, efficient, and well documented as data moves from raw to curated layers.
  • Optimize performance and cost of workloads and storage.
  • Monitor and troubleshoot data pipeline failures and performance issues.
Governance, Reliability, and Operations
  • Partner with security and governance teams to ensure appropriate data access controls and compliance.
  • Establish monitoring, alerting, and operational practices to ensure high availability and data quality.
  • Drive continuous improvement of data reliability, observability, and operational maturity.
  • Own and maintain deployment pipelines for data engineering solutions, ensuring consistent promotion across environments following established change control and release management processes.
  • Act as the primary point of accountability for the data platform and engineering outcomes.
  • Translate business and analytics requirements into scalable technical solutions.
  • Communicate architecture, tradeoffs, and progress clearly to both technical and non technical audiences.
Minimum

Required Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Education and/or

Experience:

  • 7+ years of experience in data engineering, data architecture, or related roles.
  • 2+ years of experience leading or mentoring engineers.
  • Strong hands‑on experience with Microsoft…
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