Application close date:
Applications will be accepted on an ongoing basis until the requisition is closed.At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!
This role is part of Blue Origin Operations, which is comprised of Integrated Supply Chain, Test Operations, Safety, Quality, and Mission Assurance. This includes Manufacturing and Supply Chain support across all Blue Origin facilities.As a senior technical contributor on the Supply Chain Business Intelligence & Data Science team, you will own the architecture and strategy for the highest-used supply chain data models at Blue Origin, and for the self-serve analytics platform built on top of them. Our team is a customer of Blue Origin's Enterprise Technology (ET) data platform — we consume their governed, foundational data — and we design, build, and own the business-facing data models in Databricks that sit on top of it, spanning procurement, inventory, logistics, and supplier performance. These models are the backbone of self-serve analytics and AWS-hosted web applications used broadly across Supply Chain. This role blends deep data modeling expertise with architectural ownership of how the business self-serves insights, cross-team partnership with ET, and mentorship of a growing engineering team.
Key Responsibilities
Core Data Model Ownership: Architect and own the primary supply chain data models in Databricks — the most heavily used data assets across the organization — built on top of the data ET provides.
Self-Serve Analytics Strategy: Own the strategy and architecture for how supply chain stakeholders self-serve data — including semantic layers, curated data marts, access patterns, and documentation — ensuring business users across the org can reliably find and trust the metrics they need without engineering support.
ET Partnership & Data Strategy: Serve as the primary technical liaison with ET's data platform team, defining data contracts, advocating for supply chain data needs, and adapting the team's models as ET's underlying platform evolves.
Modeling Standards & Governance: Define and enforce data modeling standards, business logic ownership, and data quality frameworks that ensure trust and consistency across every downstream consumer of the team's supply chain models and self-serve tools.
Web Application & Delivery Strategy: Guide the architecture of AWS-hosted internal web applications and self-serve analytics tools that are built on top of the team's core data models, ensuring performance, scalability, and usability.
Technical Leadership: Set engineering standards for GitLab CI/CD, VS Code-based development, testing, and deployment; mentor Data Engineer I–III team members on data modeling and self-serve enablement best practices.
AI-Enabled Engineering: Evaluate and integrate AI-assisted development, data modeling, and analytics tools (e.g., AI-powered query assistants, natural language interfaces) to further scale self-serve capabilities across the business.
Cross-Functional Partnership: Act as the primary technical point of contact between supply chain leadership and the engineering team, ensuring the team's data models and self-serve tools evolve to meet changing business needs.
End-to-End Coverage: Ensure comprehensive, reliable model and self-serve metric coverage across the entire supply chain function — procurement, inventory, logistics, supplier performance, and manufacturing supply — resolving gaps and inconsistencies as the business scales.
Minimum Qualifications
6+ years of experience building and operating production data pipelines and data models, including experience leading data modeling architecture decisions
Bachelor's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience
Expert-level proficiency in Python and SQL
Deep experience with Databricks (or comparable lakehouse platform) architecting large-scale, business-facing data models
Proven experience partnering with or consuming data from a centralized enterprise data platform team, including managing data contracts and adapting to upstream changes
Strong experience architecting solutions on AWS (e.g., S3, Lambda, Glue, ECS/EKS, RDS, API Gateway)
Proven experience with Git-based CI/CD workflows (GitLab preferred) and modern software engineering practices
Demonstrated ability to mentor engineers and lead cross-functional technical initiatives
Must be a U.S. citizen, lawful permanent resident, or protected individual as defined by 8 U.S.C. 1324b(a)(3), due to access to export-controlled data
Preferred Qualifications
Prior experience owning the highest-used/core data models for a business function (supply chain, finance, manufacturing) that consume from a centralized enterprise data platform
Experience embedding AI/LLM-based tooling into production data modeling or governance workflows
Prior experience in a supply chain, manufacturing, or aerospace/defense data environment
Experience designing self-serve analytics platforms/semantic layers built on top of business-owned data models
Familiarity with enterprise data governance frameworks, catalogs, and lineage tools
Base Pay Range for:
WA applicants is $169,347.00 - $237,085.80Other site ranges may differ
Culture Statement
Don’t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Export Control Regulations
Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Background Check
- Required for all positions: Blue’s Standard Background Check
- Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation
- Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.
- Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical
Benefits
- Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
- Stock Options for all regular employees (working at least 20 hours/week)
- Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
- Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.
Equal Employment Opportunity
Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on “Know Your Rights,” please see here.
Affirmative Action and Disability Accommodation
Applicants wishing to receive information on Blue Origin’s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at [email protected]. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.
Skills Required
- 6+ years building and operating production data pipelines and data models, including leading data modeling architecture decisions
- Bachelor's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience
- Expert-level proficiency in Python and SQL
- Deep experience with Databricks or a comparable lakehouse platform, architecting large-scale business-facing data models
- Experience partnering with or consuming data from a centralized enterprise data platform team, including managing data contracts and adapting to upstream changes
- Strong experience architecting solutions on AWS, including services such as S3, Lambda, Glue, ECS/EKS, RDS, and API Gateway
- Experience with Git-based CI/CD workflows, preferably GitLab, and modern software engineering practices
- Ability to mentor engineers and lead cross-functional technical initiatives
- Must be a U.S. citizen, lawful permanent resident, or protected individual under 8 U.S.C. 1324b(a)(3) due to access to export-controlled data
- Experience owning high-use or core data models for a business function that consume from a centralized enterprise data platform
- Experience embedding AI or LLM-based tooling into production data modeling or governance workflows
- Experience in a supply chain, manufacturing, or aerospace/defense data environment
- Experience designing self-service analytics platforms or semantic layers built on business-owned data models
- Familiarity with enterprise data governance frameworks, catalogs, and lineage tools
Blue Origin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blue Origin and has not been reviewed or approved by Blue Origin.
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Fair & Transparent Compensation — Pay is considered competitive across many roles, and base salary is widely seen as a strength.
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Healthcare Strength — Healthcare coverage includes comprehensive medical, dental, and vision options with access to a large network, and is seen as a strong part of the package.
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Retirement Support — A company 401(k) match is regarded as a solid feature that adds meaningful value to the overall benefits.
Blue Origin Insights
What We Do
Blue Origin was founded by Jeff Bezos with the vision of enabling a future where millions of people are living and working in space for the benefit of Earth. In order to preserve Earth, Blue Origin believes that humanity will need to expand, explore, find new energy and material resources, and move industries that stress Earth into space. Blue is working on this today by developing partially and fully reusable launch vehicles that are safe, low cost and serve the needs of all civil, commercial and defense customers.








