Director, Data Architect

About Pivot Bio:

Fueled by an innovative drive and a deep understanding of microbiology genomics crop nutrition and agriculture Pivot Bio is pioneering game-changing advances in fertilizer technology. Our first commercial product harnesses the power ofnaturally-occurringmicrobes modern gene editing and application technologies to provide nitrogen to crops. Weare dedicated to providingnew solutionsfor farmers to improve yield as they work to help feed the worlds growing population. Read/Hear more about Pivot Bio onForbesorPBS News Hour.

Pivot Bios Director Data Architect will play a key role in making data actionable at all levels of the organization to inform decisions actions and strategy. This individual will design and implement the companys data platform strategy creating the foundational architecture that connects lab discovery to field performance to manufacturing operations. The Data Architect works at the intersection of agronomic science industrial operations and commercial execution designing modern scalable data systems that organize and analyze data across all domains.

In this role the Director Data Architect will develop and deliver long-term strategic goals for data architecture vision and standards in collaboration with cross-functional stakeholders. A critical aspect of the role is translating business requirements from Product Innovation Manufacturing and Commercial teams into elegant technical architectures that balance immediate needs with long-term scalability. This role will provide technical recommendations throughout the solution/data architecture and implementation lifecycle working hands-on when needed to prove concepts and establish patterns. The Director Data Architect reports to the Head of Digital and works in close partnership with Product Engineering and Data Science teams interfacing with business stakeholders across R&D Manufacturing Agronomy and Commercial functions. Strong candidates have deep data platform expertise pragmatic architectural judgment and the ability to translate complex scientific and business requirements into clean scalable data systems.

This role can be located in St. Louis MO or Minneapolis MN and will be onsite 4 days a week.

Essential Functions:

• Define data architecture vision and standards in collaboration withstakeholders
• Design and implement modern data platform integrating Lab Manufacturing Agronomic and Corporate Operations across the agricultural value chain
• Design integration patterns for 3rd party data sources including soil tests machinery data imagery and partner APIs
• Establish data governance framework including MDM policies data quality standards and security protocols
• Enable AI-ready infrastructure supporting advanced analytics ML models and GenAI applications
• Own data quality and availability across modeling enrichment and accessibility for all stakeholders
• Validate architectures hands-on through POCs implementation reviews and technical problem-solving

Competencies:

• Data platform mastery: Expert in data lakes warehouses and data mesh architectures with deep Databricks experience
• Data modelingexpertise: Dimensional modeling normalized schemas graph databases and domain-driven design
• Modern data stack: Databricks (preferred) ETL/ELT tools streaming technologies and BI platforms (TableauPowerBI)
• Data governance: Quality profiling security metadata management MDM archival and migration strategies
• Technical depth: Advanced SQL Python/scripting query optimization and performance tuning
• Systems thinking: Balances strategic vision with pragmatic execution and speed-to-value trade-offs
• Ambiguity navigation: Defines elegantarchitecturedespite incomplete requirements or evolving business needs

Required Education & Experience:

• Bachelors degree in Computer Science Engineering or related field
• 10years offocusedexperience on data architecture and data engineering
• Proven experience in enterprise data modelingincluding dimensional modeling normalizationstrategiesand domain-driven design
• Deep hands-on experience with modern data platforms (Databricks strongly preferred)
• Strong programming skills in SQL;proficiencywith scripting languages (Python Rsimilar)
• Understanding of agronomic data crop nutrition soil science or precision agriculturewould be a strong plus
• Track recorddesigning data architectures that enable advanced analytics and AI/ML applications

Must be authorized to work in the United States

What We Offer:

• Competitive package in a disruptive startup
• Stock options
• Health/Dental/Vision insurance with employer-paid premiums
• Life Short-Term and Long-Term Disability policies
• Employee Assistance Program with free referrals and discounts
• 401(k) plan 3% Match
• Commuter benefits
• Annual Training & Development support
• Flexible vacation policy with a generous holiday schedule
• Exciting opportunity to work with a talented and fun team

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