Data Operations Manager Jobs in Idaho
Data Operations Manager jobs in Idaho concentrate in agriculture-technology, healthcare systems, and financial services, with steady demand at both mid-level and senior tiers as Idaho's data infrastructure continues to mature. Boise, Nampa, and Idaho Falls are the primary hiring hubs, where employers like Micron Technology, St. Luke's Health System, and Idaho Central Credit Union maintain active data and operations teams. Pipeline management, data quality governance, and analytics operations are the most in-demand specialties. Scan the live roles below and apply to whichever ones fit.
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Simplot is a family-owned, privately held global food and agriculture company headquartered in Boise, Idaho. Its integrated portfolio of companies includes food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture. Simplot has major operations in nine countries with products and services available to customers worldwide.
Summary
This role will lead the build-out of Simplot’s new SAP Datasphere environment into a scalable, production-ready state. You’ll define how data is integrated, governed, and delivered across SAP and non-SAP systems as part of a modern data fabric architecture. This role partners closely with business stakeholders, data engineering, SAP, and security teams to establish core architectural patterns, security schema, and operational standards that will enable a stable, scalable, cost-effective and secure platform across the organization. This role applies advanced data engineering and platform engineering principles and will exercise independent judgment, own key technical decisions, and contribute to a long-term platform strategy while delivering a hands-on implementation.
Key Responsibilities
Platform Design, Initialization & Implementation
Lead the initial setup and configuration of the Datasphere platform, establishing foundational design patterns, environments, and operational standards.
Define and implement the Datasphere architecture, including space organization, separation of concerns, and alignment to business domains.
Design and establish data integration between Datasphere and upstream / downstream systems, including Databricks and SAP.
Platform Maintenance & Support
Lead the identification and assessment of on-going maintenance and support needs for the Datasphere platform.
Provide on-going maintenance and support, in coordination with other teams, for the Datasphere platform.
Security & Governance
Partner with business stakeholders to design and implement the Datasphere security model.
Ensure the platform aligns with enterprise data governance standards and security best practices.
Contribute to the definition of platform access and security roles to enable secure self‑service while maintaining appropriate controls.
Stakeholder Collaboration
Work directly with business and technical stakeholders to understand data, access, and operational requirements.
Translate business needs into technical designs that balance stability, scalability, and cost-effectiveness.
Provide guidance and recommendations on Datasphere capabilities, constraints, and best practices.
Engineering & Delivery
Develop and maintain infrastructure as code to enable automation of configuring and supporting the Datasphere platform.
Apply data engineering best practices to ensure stability, scalability, and cost-effectiveness of the platform.
Participate as a technical lead or primary on platform‑related initiatives, providing estimates and contributing to delivery planning.
Documentation & Enablement
Create and maintain clear technical documentation for Datasphere architecture, security models, and operational processes.
Contribute to onboarding materials and knowledge sharing to enable adoption by data engineers and business users.
Mentor team members and provide technical guidance related to Datasphere usage and design.
Provide time and effort estimates for assigned work.
Typical Education
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field or equivalent practical experience
Required Qualifications
- 4-10 years of experience in data engineering, platform engineering, or analytics platform implementation.
- Experience with cloud‑based data platforms and modern data engineering tools.
- Strong understanding of data platform architecture and data modeling concepts.
- Proficiency in SQL and familiarity with automation, scripting, or infrastructure‑as‑code concepts.
- Ability to evaluate and recommend platform design patterns based on business and technical requirements.
Preferred Qualifications
- Prior experience standing up or modernizing an enterprise analytics or data sharing platform.
- Experience working in cross‑functional teams with data engineering, security, and business stakeholders.
- Exposure to large‑scale data platforms and integration with enterprise data platforms.
- Experience with SAP, Databricks, Snowflake, Azure, or Terraform.
- Experience with SAP, SAP BW, SAP Data Products or SAP Business Content.
Job Requisition ID: 25640
Travel Required:
Location(s): Simplot Headquarters - Boise
Country: United States
**The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. **
#LI-MH1
Simplot is a family-owned, privately held global food and agriculture company headquartered in Boise, Idaho. Its integrated portfolio of companies includes food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture. Simplot has major operations in nine countries with products and services available to customers worldwide.
Summary
This role will lead the build-out of Simplot’s new SAP Datasphere environment into a scalable, production-ready state. You’ll define how data is integrated, governed, and delivered across SAP and non-SAP systems as part of a modern data fabric architecture. This role partners closely with business stakeholders, data engineering, SAP, and security teams to establish core architectural patterns, security schema, and operational standards that will enable a stable, scalable, cost-effective and secure platform across the organization. This role applies advanced data engineering and platform engineering principles and will exercise independent judgment, own key technical decisions, and contribute to a long-term platform strategy while delivering a hands-on implementation.
Key Responsibilities
Platform Design, Initialization & Implementation
Lead the initial setup and configuration of the Datasphere platform, establishing foundational design patterns, environments, and operational standards.
Define and implement the Datasphere architecture, including space organization, separation of concerns, and alignment to business domains.
Design and establish data integration between Datasphere and upstream / downstream systems, including Databricks and SAP.
Platform Maintenance & Support
Lead the identification and assessment of on-going maintenance and support needs for the Datasphere platform.
Provide on-going maintenance and support, in coordination with other teams, for the Datasphere platform.
Security & Governance
Partner with business stakeholders to design and implement the Datasphere security model.
Ensure the platform aligns with enterprise data governance standards and security best practices.
Contribute to the definition of platform access and security roles to enable secure self‑service while maintaining appropriate controls.
Stakeholder Collaboration
Work directly with business and technical stakeholders to understand data, access, and operational requirements.
Translate business needs into technical designs that balance stability, scalability, and cost-effectiveness.
Provide guidance and recommendations on Datasphere capabilities, constraints, and best practices.
Engineering & Delivery
Develop and maintain infrastructure as code to enable automation of configuring and supporting the Datasphere platform.
Apply data engineering best practices to ensure stability, scalability, and cost-effectiveness of the platform.
Participate as a technical lead or primary on platform‑related initiatives, providing estimates and contributing to delivery planning.
Documentation & Enablement
Create and maintain clear technical documentation for Datasphere architecture, security models, and operational processes.
Contribute to onboarding materials and knowledge sharing to enable adoption by data engineers and business users.
Mentor team members and provide technical guidance related to Datasphere usage and design.
Provide time and effort estimates for assigned work.
Typical Education
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field or equivalent practical experience
Required Qualifications
- 4-10 years of experience in data engineering, platform engineering, or analytics platform implementation.
- Experience with cloud‑based data platforms and modern data engineering tools.
- Strong understanding of data platform architecture and data modeling concepts.
- Proficiency in SQL and familiarity with automation, scripting, or infrastructure‑as‑code concepts.
- Ability to evaluate and recommend platform design patterns based on business and technical requirements.
Preferred Qualifications
- Prior experience standing up or modernizing an enterprise analytics or data sharing platform.
- Experience working in cross‑functional teams with data engineering, security, and business stakeholders.
- Exposure to large‑scale data platforms and integration with enterprise data platforms.
- Experience with SAP, Databricks, Snowflake, Azure, or Terraform.
- Experience with SAP, SAP BW, SAP Data Products or SAP Business Content.
Job Requisition ID: 25640
Travel Required:
Location(s): Simplot Headquarters - Boise
Country: United States
**The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. **
#LI-MH1
See All 40 Data Operations Manager Jobs in Idaho
Find roles in Idaho that match your experience and apply in just a few clicks.
Find Data Operations Manager JobsData Operations Manager Jobs by City in Idaho
Where Idaho roles are concentrated, by current openings.
Data Operations Manager Job Market in Idaho
A snapshot from current Idaho openings, updated as new roles post.
Who's Hiring
- Paylocity5
- Simplot Company4
- Micron Technology3
- Clearwater Analytics (CWAN)3
- ICCU2
Top Industries Hiring
- Accounting & Auditing4
- Electronics & Hardware4
- Agriculture & Farming3
- Investment & Asset Management3
- Insurance2
What Idaho Employers Look For
The qualifications that appear most often in data operations manager jobs across Idaho.
- Bachelor's degree in information systems, computer science, or a related field required
- Three or more years managing data pipelines, warehousing, or ETL processes
- Proven experience leading cross-functional data operations or analytics teams
- Proficiency with SQL, Python, or data integration platforms such as Informatica or Talend
- Familiarity with data governance frameworks and compliance standards like HIPAA or SOC 2
- Strong project management skills with experience in Agile or similar delivery methodologies
Data Operations Manager Jobs in Idaho: Frequently Asked Questions
How do you become a data operations manager in Idaho?
Most data operations managers in Idaho enter the role through a combination of a bachelor's degree in information systems, computer science, or business analytics and several years of hands-on experience in data engineering or analytics. Idaho does not require a state-issued license for this role. Employers in Boise and the Treasure Valley increasingly value certifications from vendors like AWS, Microsoft Azure, or Google Cloud, along with demonstrated experience managing data quality and operational workflows.
How much do data operations managers make in Idaho?
Data operations managers in Idaho earn a median of about $162,240 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $92,680 for the lowest 10% to over $219,380 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data operations managers in Idaho?
Employers hiring data operations managers in Idaho right now include Paylocity, Simplot Company, and Micron Technology, based on current listings on Migrate Mate as of July 2026. Idaho's technology manufacturing, healthcare, and financial services sectors drive consistent demand for this role across the state.
Which Idaho cities have the most data operations manager jobs?
Boise, Meridian, and Idaho account for the largest share of data operations manager openings in Idaho. Boise dominates because it anchors the state's technology, finance, and healthcare employer base, while Nampa and Idaho Falls carry openings tied to regional healthcare networks and agribusiness operations technology that have grown considerably in recent years.
Are there remote data operations manager jobs in Idaho?
Yes, and more than most fields, because data operations work is largely desk-based and platform-driven. About 20% of data operations manager openings tied to Idaho are remote or hybrid as of July 2026, reflecting how transferable this work is across locations. Pipeline monitoring, data governance oversight, and reporting functions are the parts of the role most commonly performed fully remote.
How can I get hired as a data operations manager in Idaho with little or no experience?
The most realistic path is starting as a data analyst, data coordinator, or database administrator at a large Idaho employer and building toward an operations management role internally. Micron Technology and St. Luke's Health System both run structured associate and rotational programs that place early-career candidates in data-adjacent roles. Building a portfolio of SQL projects, completing an AWS or Azure certification, and targeting Idaho's growing agtech and healthcare data teams gives candidates without direct management experience a concrete edge.
Where can I find and apply to data operations manager jobs in Idaho?
You can find and apply to data operations manager jobs in Idaho on Migrate Mate, which lists current Idaho openings for this role. Search the listings, find the roles that match your background and preferences, and apply directly to the ones that fit.
See All 40 Data Operations Manager Jobs in Idaho
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