Data Solution Architect

Conagra Brands; Omaha (NE); On-site; USD 125,000 - 183,000; Full time

Benefits offered by this job

Health plans

Bonus incentive

401(k) and stock plan

Tuition reimbursement

Flexible work schedules

Parental leave

Volunteer opportunities

Job summary

Conagra Brands is seeking a senior data engineering leader to translate business priorities into a scalable data architecture roadmap for the Supply Chain value stream. You will guide data engineers, architects, and analysts, delivering governed data products and reproducible pipelines to support analytics and AI initiatives.

You will partner with Supply Chain, Analytics, and IT Shared Services, mentoring teams and shaping data models in alignment with governance standards and enterprise KPIs.

Qualifications

• Bachelor’s degree in computer science, information systems, engineering, or related field.
• 8+ years in data engineering/analytics engineering with 3+ years in architecture/lead role.
• Experience guiding data engineers and mentoring teams.
• Ability to influence technical decisions without formal authority.
• Strong data modeling expertise for complex operational domains.
• Advanced SQL, Python, and data-transformation skills.
• Hands-on cloud data platforms experience (Databricks, Fabric, Palantir).

Responsibilities

• Define and maintain Supply Chain data strategy and architecture roadmap.
• Provide technical leadership for data engineers and senior data engineers.
• Lead discussions, reviews, prototyping, and mentorship across teams.
• Coach architects on data strategy, domain modeling, and data-product design.
• Lead design of conceptual, logical, and physical data models for Supply Chain.
• Translate business processes into curated data products and entities.
• Guide teams through design reviews and solution sign-off with hands-on prototyping.
• Ensure data models align with governance, KPIs, and enterprise standards.
• Embed data lineage, metadata, quality, security into data products.
• Assess enterprise standards vs. Supply Chain needs and fill gaps.
• Develop and maintain scalable data pipelines for domain data products.
• Oversee SQL transformations and data-processing logic performance.
• Operate pipelines as code with CI/CD practices.
• Drive data-quality checks and observability for pipeline health.
• Collaborate with Supply Chain, Analytics, and Data Science teams.
• Coordinate with business analytics on feature roadmaps and technical requirements.
• Work with Automation/AI Enablement to ingest governed domain data.
• Shape data products for advanced analytics/AI with proper governance.
• Participate in domain planning, reviews, and dependency management.
• Evaluate data designs for performance, cost, and time to value.

Skills

SQL

Python

Data modeling

Data governance

CI/CD for data pipelines

Mentorship

Communication

Cloud data platforms

Education

Bachelor’s degree in Computer Science / Information Systems / Engineering

Tools

Databricks

Microsoft Fabric

Palantir

Job description

Reporting to the appropriate Supply Chain technology leader, you will provide senior technical leadership for data engineering, data architecture, and domain modeling across the Supply Chain Value Stream. You will translate business priorities into a practical data architecture roadmap and guide teams in delivering trusted, governed, reusable data products that support analytics, artificial intelligence, and data-driven decision-making. You will partner across Supply Chain, business analytics, and Information Technology Shared Services supporting Catalyst and other projects, while mentoring architects and engineers and influencing technical direction without formal people management responsibility.

A Taste of Your Responsibilities

• Define and maintain the Supply Chain data strategy and architecture roadmap in partnership with portfolio, business, analytics, and Information Technology Shared Services teams.

• Serve as a technical lead for System Analysts, Data Engineers, and Senior Data Engineers supporting Supply Chain, providing guidance through design discussions, code reviews, hands-on prototyping, and technical mentorship.

• Lead technical discussions and influence delivery approaches across portfolios while aligning execution with domain roadmaps and enterprise standards.

• Coach solution and functional architects on data strategy, domain modeling, data-product design, architecture trade-offs, and the early incorporation of data requirements into solution designs.

• Lead the design and evolution of conceptual, logical, and physical data models for Supply Chain.

• Translate Supply Chain and Innovation business processes into curated, reusable data products by defining the business entities, relationships, and data required to represent those processes.

• Provide technical guidance to build teams through design reviews and solution sign-off, validating approaches through hands-on prototyping.

• Ensure data models align with enterprise definitions, key performance indicators, and governance standards.

• Partner with Data Architects and governance teams to incorporate data lineage, metadata, data quality, security, and access requirements into data products.

• Assess enterprise data standards and guardrails against Supply Chain needs, document gaps, and partner with Information Technology Shared Services to enhance or establish appropriate standards.

• Lead the development and maintenance of scalable data pipelines supporting Supply Chain domain data products.

• Guide implementation of SQL transformations, data-processing logic, and performance optimization.

• Ensure pipelines and transformations are developed and operated as code using continuous integration, continuous delivery, and development operations practices.

• Drive data-quality checks and observability to help teams identify data issues, monitor pipeline health, and support solutions after initial delivery.

• Partner with Supply Chain, Analytics, and Data Science teams to align data products with business needs.

• Partner closely with the business analytics group on a roadmap of technical requirement changes, including new features, capabilities, and guidance for the data and analytics ecosystem. Translate technology changes into actionable technical requirements and clear business impacts, and coordinate transition planning.

• Collaborate with Automation and AI Enablement Engineers so AI solutions consume governed domain data.

• Shape data products and pipelines for advanced analytics and AI use cases with appropriate quality, metadata, lineage, security, and access considerations.

• Participate in domain-level planning, design reviews, and dependency-management discussions.

• Evaluate alternative data designs based on data structure, performance, cost, and time to value, and recommend cost-aware solutions for Supply Chain data workloads.

• Help drive measurable reuse of domain data products, adoption of the Supply Chain data roadmap, earlier consideration of data requirements in solution designs, and achievement of data-quality service levels for priority datasets.

Ingredients Required for Your Success

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field; advanced degree preferred.

• Eight or more years of experience in data engineering, analytics engineering, or related roles, including three or more years in an architecture or technical-lead role.

• Demonstrated experience guiding data engineers through technical mentorship and delivery leadership.

• Demonstrated experience coaching architects and influencing technical decisions without formal authority.

• Strong expertise in data modeling for complex operational domains; Supply Chain or Manufacturing experience is preferred.

• Advanced proficiency with SQL, Python, and data-transformation techniques.

• Deep, recent hands-on experience with cloud-based data platforms such as Databricks, Microsoft Fabric, and Palantir.

• Experience developing curated datasets and domain-oriented data products.

• Strong understanding of data governance, data quality, lineage, metadata management, security, and access controls.

• Experience applying development operations and continuous integration and continuous delivery practices to data pipelines.

• Experience preparing governed, reusable data for machine learning, generative artificial intelligence, or other advanced analytics use cases is preferred.

• Experience evaluating data architectures based on performance, cost, maintainability, and time to value.

• Strong communication skills for explaining technical concepts and trade-offs to engineering and business audiences.

• Strong problem-solving and decision-making skills.

Compensation

Pay Range:$125,400-$182,900

The annual salary listed above is the expected offering for this position. An employee’s actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees’ equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.

Our Benefits

We care about your total well-being and will support you with the following, subject to your location and role:

• Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement

• Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan

• Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement

• Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities

Our Company

At Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000+ person team across 40+ locations, you are empowered to reach your potential, make an impact and own your career. We're in the business of building champions – within our people and our iconic brands like Birds Eye, Slim Jim and Reddi-Wip.

Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome.

Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.