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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** Smart TechLink Solutions Inc. - **Location:** Hartford, CT, United States - **Salary:** $160,500.0 - $185,500.0 - **Contract:** Temporary to permanent - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Big Data, Cloud Engineering, Data Architecture, Data Governance, Data Infrastructure, Data Integration, Data Warehousing, Graph Database, Information Lifecycle Management, Machine Learning, Metadata, Meta-Data Management, Reference Data, Cloud Services, Search Technologies, Data Streaming, Snowflake, Generative AI, Data Layers, Microsoft Fabric, Data Lakes, Data Management, Databricks - **Published:** September 11, 2026 - **Apply:** https://www.careerjet.com/jobad/usc9c29c4d34d45ad09551e75c3ccbde90 ## About the Role * Strong experience in enterprise data architecture and large-scale data transformation programs. * Deep understanding of data modeling, data integration, data platforms, metadata, lineage, and data governance. * Strong knowledge of finance and accounting data domains, including concepts such as GL, chart of accounts, AP, AR, fixed assets, revenue, financial reporting, budgeting, and forecasting. * Hands-on or architectural experience with Snowflake, Databricks, Azure, or comparable modern cloud data platforms. * Experience designing enterprise semantic layers and business-oriented data models. * Strong understanding of Master Data Management (MDM) and reference data management. * Experience establishing enterprise data governance, data quality, metadata, lineage, and business glossary capabilities. * Understanding of modern AI/ML and GenAI architecture patterns, including vector search, embeddings, RAG, knowledge graphs, and AI-ready data foundations. * Experience with data architecture patterns such as data lake, data warehouse, lakehouse, data mesh, data fabric, and data products. * Strong understanding of cloud architecture, APIs, integration patterns, security, and data privacy. * Ability to communicate complex technical concepts effectively to both technical and senior business stakeholders. ## Description * Own the overall architecture and design of the enterprise data, semantic, and knowledge ecosystem. * Define enterprise-wide data architecture principles, standards, patterns, and reference architectures. * Design scalable data platforms and architectures across cloud, lakehouse, warehouse, and modern data ecosystem environments. * Develop and govern the enterprise semantic layer, including business definitions, metrics, KPIs, dimensions, hierarchies, and relationships. * Establish architecture for knowledge models, metadata, business glossaries, ontologies, and knowledge graphs where appropriate. * Partner with Finance, Accounting, FP&A, Risk, and other business functions to translate domain requirements into reusable data and semantic models. * Define strategies for Master Data Management (MDM), data quality, lineage, metadata management, and data lifecycle management. * Establish data governance architecture aligned with enterprise policies, regulatory requirements, security, privacy, and compliance standards. * Design AI-ready data architecture patterns that support machine learning, GenAI, retrieval-augmented generation (RAG), intelligent automation, and advanced analytics. * Ensure data is discoverable, trusted, contextualized, interoperable, and fit for both traditional analytics and AI applications. * Evaluate and recommend technologies and platforms such as Snowflake, Databricks, Azure, or comparable cloud data platforms. * Define integration patterns across ERP, finance systems, operational applications, data warehouses, data lakes/lakehouses, APIs, and external data sources. * Establish architecture for real-time, batch, event-driven, and streaming data use cases as required. * Drive adoption of reusable data products, domain-oriented architecture, and self-service data capabilities. * Collaborate with enterprise architects, solution architects, data engineers, data scientists, analysts, and business stakeholders. * Provide technical leadership and architectural guidance for major data and AI transformation initiatives. * Assess existing architecture, identify gaps, and develop target-state architecture and transformation roadmaps. * Ensure architectural decisions balance scalability, performance, security, cost, maintainability, and business value., Position Title: Data Architect Location: Minneapolis, MN & Hartford, CT (Onsite) Duration: 6 Months Contract Job Description: Strong hands-on experience in Python for data eng…, Role: Data Architect (FDE) Domain: Finance and Accounting Job Description: Responsible for overall architecture and design of the data, semantic, and knowledge ecosystem. 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