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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Data Architect - **Company:** Johnny's Selected Seeds - **Location:** Fairfield, ME, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Business Analytics Applications, Application Integration Architecture, Cloud Database, Cyber Security, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Retention, Data Security, Data Systems, Data Warehousing, Meta-Data Management, Systems Integration, Enterprise Data Management, Data Processing, Data Strategy, Event Driven Architecture, Core Data, Data Analytics, Data Management, Data Pipelines - **Published:** June 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5a2cf5aa918617bc ## About the Role Do you have experience in Technology security practices?, * 8-12+ years in data architecture, data engineering, or a related field * Proven experience designing and implementing enterprise-level data solutions * Experience working across multiple business domains (e.g., Sales, Operations, Finance, Supply Chain) Technical Expertise * Enterprise data architecture and modeling * Data governance and metadata management * Master data management (MDM) * Integration architecture (API, ETL/ELT, event-driven systems) * Data warehousing, lakehouse, and analytics platforms * Cloud-based data environments * Data security and compliance practices, * Strategic thinker with strong problem-solving capability * Ability to influence across functions without direct authority * Strong communication skills with both technical and business stakeholders * Collaborative and facilitative approach ## Description Johnny's Selected Seeds is seeking an experienced Enterprise Data Architect to define and lead our enterprise data strategy. This role is responsible for ensuring that data across the organization is structured, integrated, governed, and leveraged to support operational excellence, customer experience, and data-driven decision-making. This is a highly visible, strategic role that partners across the organization to align data architecture with business priorities while establishing scalable, future-ready capabilities. Why This Role Matters * Establish a single, trusted foundation for enterprise data * Enable better decision-making across Sales, Operations, Supply Chain, and Finance * Improve system integration and reduce data fragmentation * Support analytics, reporting, and future digital capabilities What You'll Do Enterprise Data StrategyArchitecture * Define and lead the enterprise data architecture vision and multi-year roadmap * Establish target-state architecture across data platforms, integration, governance, and analytics * Ensure alignment between data strategy and business priorities Data ModelingDomain Ownership * Develop and maintain enterprise data models (conceptual, logical, physical) * Define and standardize core business data domains (customer, product, inventory, pricing, finance) * Establish consistent data definitions, relationships, and lineage Data GovernanceMaster Data Management * Lead the development of a formal data governance framework * Define policies for data quality, ownership, classification, and lifecycle management * Establish master data standards, including golden records and data harmonization IntegrationData Flow * Define data definitions and data requirements for scalable integration patterns (API, ETL/ELT, event-driven architecture) * Ensure reliable and efficient data movement across systems * Partner with application teams to define data integration standards AnalyticsReporting Enablement * Support enterprise BI, reporting, and analytics capabilities * Ensure consistency and trust in KPIs, metrics, and data models * Partner with analytics teams to enable scalable data pipelines Security, ComplianceGovernance * Align data architecture with security, privacy, and regulatory requirements * Define standards for access control, auditing, and sensitive data handling * Support data retention and traceability requirements Architecture GovernanceBusiness Partnership * Participate in architecture reviews and technology decisions * Evaluate internal and vendor solutions for alignment with standards * Partner with leaders across Sales, Operations, Supply Chain, Finance, Customer Care, and Digital * Translate business needs into scalable data solutions What Success Looks Like (First 6-12 Months) * Established a clear enterprise data architecture roadmap * Defined and aligned core data domains across key systems * Identified key metrics for measuring improvements to data quality, consistency, and accessibility across the organization * Begun work on foundational data governance practices ## Related Videos - [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) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Big Business, Big Barriers? 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