Senior Data Architect, Supply Chain & Data Platforms

Conagra Brands, Inc.

Omaha (NE)

On-site

USD 125,000 - 183,000

Full time

7 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Stock purchase plan
Tuition reimbursement
Flexible work schedules

Job summary

Conagra Brands, Inc. is seeking a senior technology leader to own data engineering, data architecture, and domain modeling across the Supply Chain Value Stream.

You will translate business priorities into a practical data roadmap, guide teams in delivering trusted, governed data products for analytics, AI, and decision‑making, and mentor architects and engineers while influencing technical direction. You will define and maintain the data strategy, lead technical discussions, and drive data

Qualifications

  • 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.

Responsibilities

  • Lead the definition and maintenance of the Supply Chain data strategy and architecture roadmap.
  • Provide technical lead for Analysts and Data Engineers supporting Supply Chain, including design reviews and mentoring.
  • Drive data quality checks, governance, and observability across data products.
  • Guide implementation of SQL transformations and data processing to optimize performance and cost.
  • Collaborate with BI, Analytics, and IT Shared Services to align data products with business needs and enterprise standards.
  • Translate technology changes into actionable technical requirements and business impacts, coordinating transition planning.
  • Shape data products and pipelines for advanced analytics and AI use cases with governance and security in mind.
  • Lead domain‑level planning and dependency management to ensure timely delivery.

Skills

Data engineering
Analytics engineering
Data architecture
Domain modeling
SQL
Python
Databricks
Microsoft Fabric
Palantir
Data governance
CI/CD for data pipelines
Mentoring engineers

Education

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

Tools

Databricks
Microsoft Fabric
Palantir

Job description

Conagra Brands, Inc. is seeking a senior technology leader to own data engineering, data architecture, and domain modeling across the Supply Chain Value Stream.

You will translate business priorities into a practical data roadmap, guide teams in delivering trusted, governed data products for analytics, AI, and decision‑making, and mentor architects and engineers while influencing technical direction. You will define and maintain the data strategy, lead technical discussions, and drive data

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