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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Data & Information Architecture - **Company:** Pivot Bio - **Location:** Minneapolis, MN, United States - **Experience:** Expert - **Salary:** $165,000.0 - $206,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Data Architecture, Data Vault Modeling, Database Queries, Digital Assets, Meta-Data Management, SQL Databases, Systems Integration, Management of Software Versions, Enterprise Data Management, Snowflake, Data Management, Databricks - **Published:** June 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5cd035625997d1f2 ## About the Role Do you have experience in Systems integration?, * 10+ years in Data Architecture, Information Architecture, or Enterprise Data Modeling. * Deep expertise in conceptual, logical, and physical data modeling. * Experience with canonical modeling, Data Vault, metadata management, MDM, and lineage. * Hands-on experience with Databricks, Snowflake, or modern Lakehouse platforms. * Strong SQL skills and ability to validate models directly against data. * Experience in regulated, scientific, manufacturing, healthcare, life sciences, or evidence-sensitive environments preferred. * Demonstrated ability to balance governance rigor with pragmatic execution. What We Are Not Looking For This role is not primarily a cloud infrastructure architect, integration engineer, or BI/reporting architect position. Success requires deep information architecture capability, including semantic modeling, domain design, lineage, traceability, and enterprise data stewardship. Must be authorized to work in the United States. ## Description Fueled by an innovative drive and a deep understanding of the soil microbiome, Pivot Bio is pioneering game-changing advances in agriculture. Our products harness naturally occurring microbes to provide nutrients to crops, helping farmers improve yields while reducing environmental impact. Pivot Bio is seeking a Director, Data & Information Architecture to define and steward the enterprise information backbone connecting Product Innovation, Agronomy, Manufacturing, Commercial, and Digital products. This role is responsible for establishing canonical data models, domain boundaries, data contracts, lineage standards, and governance patterns that enable trustworthy, decision-grade data across the enterprise. Unlike traditional platform-focused data architecture roles, this position is centered on information architecture: designing durable semantic models, traceability frameworks, and evidence systems that support product performance analysis, scientific discovery, operational execution, and AI-enabled decision making. What Success Looks Like * Define canonical enterprise data models spanning R&D, Agronomy, Manufacturing, Commercial, and Digital domains. * Establish domain ownership, data contracts, lineage, and reconciliation standards. * Design logical and physical Lakehouse models supporting Silver and Gold layers. * Create traceable, reproducible evidence systems capable of supporting scientific and commercial decision making. * Provide a phased architecture roadmap for modernization and migration of existing data assets. * Enable trustworthy AI and analytics through strong semantic foundations., * Own enterprise information architecture strategy and standards. * Design canonical models, master data relationships, and cross-domain integration patterns. * Define semantic standards for observations, results, recommendations, outcomes, and evidence. * Lead logical and physical data modeling efforts within Databricks Lakehouse. * Establish metadata, lineage, versioning, and traceability frameworks. * Partner with Product, Engineering, Data Science, Manufacturing, and Commercial teams to translate business requirements into durable data models. * Review architecture designs and validate implementations through hands-on modeling, SQL analysis, and proof-of-concept work. * Drive data governance practices focused on quality, stewardship, reproducibility, and trust. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)