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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Architect - **Company:** Arkansas County Co-op - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $175,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, ARM Architecture, Microsoft Azure, BigQuery, Cloud Engineering, Profiling, Information Systems, Computer Programming, Databases, Continuous Integration, Customer Data Management, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Migration, Data Sharing, Cursor, Amazon DynamoDB, Python (Programming Language), PostgreSQL, Metadata, Microsoft Visio, Microsoft SQL Server, MongoDB, NoSQL, Oracle (Applications), PCI Data Security Standards, Power BI, Cloud Services, SQL Databases, Data Streaming, Tableau (Software), UML, Openapi, Azure Service Bus, Sql Optimization, GitHub Copilot, Snowflake, Boomi, Zapier, Technical Debt, Togaf, Data Layers, Microsoft Fabric, Information Technology, Collibra, Apache Kafka, Graphql, Data Management, Tools for Reporting, Claude, Restful APIs, Azure Synapse Analytics, GPT, Data Pipelines, User Identification, Mulesoft, Databricks - **Published:** October 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=30be573e5855f46a ## About the Role * 8+ years in data architecture, solution architecture, or data engineering, including 3+ years client-facing or advisory * Demonstrable proficiency across the Technical Skillset below * Comfortable using AI tools to develop and validate solutions, with sound judgment in checking their output * Track record as a trusted technical advisor who influences decisions without direct authority * Excellent written and verbal communication, including clear architecture diagrams and executive-ready summaries a non-technical executive can act on * Experience with modernizing a legacy data platform (for example, moving custom or batch orchestration to modern ELT), ideally as the architect or a core contributor * Bachelor's in Computer Science, Information Systems, or a related field preferred, or equivalent experience Technical Skillset Tools listed are examples; equivalent experience counts. Skill area Expected level Example technologies Cloud data platforms Expert Snowflake (medallion layers, cost design, tags and masking policies, data sharing, Cortex); also Databricks, BigQuery, Microsoft Fabric/Azure Synapse, Redshift Data modeling and information architecture Expert Conceptual, logical, and physical models; dimensional and canonical models; modeled in a cloud warehouse with dbt or similar; erwin or ER/Studio a plus SQL and databases Expert Advanced SQL, including metadata-driven profiling; Oracle, SQL Server, PostgreSQL; NoSQL such as MongoDB or DynamoDB (working knowledge) Data governance, quality, and metadata Advanced Governance operating models (stewardship, decision rights, KPI glossary); platform-native controls (Snowflake tags, classification, masking); dbt tests and lineage; catalog tools such as Collibra, Alation, Microsoft Purview, Atlan, or OpenMetadata (working knowledge) Integration and APIs Advanced REST and GraphQL, OpenAPI; iPaaS such as Workato, MuleSoft, or Boomi; reverse ETL and warehouse-centric hub patterns Master and reference data management Advanced Warehouse-native identity resolution and golden-record design, householding, survivorship rules; Informatica, Reltio, or Profisee a plus Data pipelines and event streaming Advanced ETL/ELT with dbt, Airflow, Fivetran, or similar; dbt tests, CI/CD for data, pipeline monitoring and service levels; diagnosing and retiring custom orchestration; Kafka, Kinesis, or Event Hubs (working knowledge) Data privacy and security Advanced GDPR and UK GDPR (including special-category data), CCPA, PCI DSS; and PHI discovery, classification, masking, and minimization, access control, encryption; third-party data flows BI and semantic layer Advanced Power BI or similar: workspace governance, certified datasets, metrics layer, report rationalization; Fabric, Sigma, or Tableau Architecture documentation Advanced C4 or UML diagrams; Lucid, Visio, or draw.io Cloud architecture Advanced AWS, Azure, or GCP, including hybrid designs AI-assisted solution development and data for AI Working knowledge, used daily Claude, ChatGPT, GitHub Copilot, Cursor, or similar; semantic layers for assistant access, Snowflake Cortex, connector governance Programming and scripting Working knowledge Python for profiling, prototyping, and automation, * Experience with large, interconnected ecosystems, ideally in travel, hospitality, or other consumer-facing, transaction-heavy industries; reservation, property management, and point-of-sale systems (cruise, hotel, resort) a strong plus * Customer data management experience (customer 360, CDPs, identity resolution, loyalty program data) * Experience with BI enablement (Power BI governance, certified datasets) and preparing data for AI and machine learning * Certifications such as CDMP, TOGAF, SnowPro Advanced Architect, or cloud architecture credentials * Experience handling protected health information or other special-category data (health, accessibility, vaccination status) under HIPAA-style safeguards or GDPR Article 9, including third-party data flows * Prior consulting experience supporting multiple clients at once * Takes ownership, gives and receives feedback well, and adapts to change * Team player who loves working with people and learns from mistakes ## Description ArgonDigital is seeking a Solution Architect with a strong data background to help clients get more value from data across complex, multi-application ecosystems. You'll assess how data moves between systems such as web and mobile apps, commerce platforms, reservation and point-of-sale systems, CRMs, ERPs, and analytics tools, then set practical, standards-based approaches to data architecture, governance, and integration, and see them through to adoption. The role is both advisory and hands-on. You brief client executives in plain language, and you set the standards, review designs, and own the reference architecture that in-house and contractor teams build against. Expect the mix to start advisory and grow more hands-on over time. You may also serve as a solution consultant across multiple ArgonDigital accounts. Essential Duties and Responsibilities * Serve as the trusted data and solution architecture advisor to client leadership, including non-technical executives, and technical teams * Assess current-state application and data landscapes: systems of record, data flows, integrations, ownership, pipeline health, and technical debt * Rationalize legacy platforms: retire abandoned pipelines and environments, consolidate orchestration, and set observability and service levels * Define target-state data and information architecture, including data models, identity resolution, master data strategy, and system-of-record decisions * Design and standup fit-for-purpose data governance: stewardship, decision rights, a shared KPI glossary, and practical controls for quality, metadata, lineage, privacy, and security, with or without a catalog tool * Set integration patterns (APIs, event-driven, batch ETL/ELT, iPaaS, warehouse-centric hub) for moving data reliably between applications, including reconciliation where systems sync one way * Use AI tools daily to accelerate discovery, profiling, modeling, documentation, and prototyping; define how AI assistants and agents consume governed data (semantic layer, connectors, policy enforcement); and guide clients on responsible adoption * Set engineering standards (naming, modeling, testing, CI/CD, documentation) and run design reviews so in-house, contractor, and offshore teams build to them * Build phased roadmaps tied to business outcomes and team capacity; run proofs of concept and vendor evaluations with pass/fail criteria; deliver build-versus-buy recommendations, platform cost counsel, and the business case behind funding requests * Translate technical concepts into clear recommendations for executives and non-technical stakeholders * Apply ArgonDigital's requirements and modeling methodology: run structured elicitation, turn vague asks into backlog-ready epics and stories, and guide delivery teams on architecture direction * Support sales with needs elicitation, solution shaping, and high-level estimates while balancing multiple clients