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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** E & D Corporation - **Location:** New York, United States - **Experience:** Expert - **Salary:** $165,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Dataspaces, Data Systems, Data Warehousing, Information Lifecycle Management, Industry Standard Architecture, SQL Azure, Azure Machine Learning, Azure Data Lake, Software Engineering, Data Streaming, Technical Data Management Systems, Enterprise Data Management, Google Cloud, Cloud Platform System, Data Ingestion, Azure Data Factory, Data Lakes, Information Technology, Azure Synapse Analytics, Databricks - **Published:** September 4, 2026 - **Apply:** https://www.dice.com/job-detail/be5c2bfe-9583-4cd8-9880-06414254ec84 ## About the Role * 8+ years of experience in data architecture, data engineering, or enterprise data solutions * Strong experience across the full data lifecycle, including data ingestion, integration, storage, transformation, governance, quality, and analytics enablement * Deep expertise in data modeling (conceptual, logical, and physical), including dimensional and modern analytical modeling approaches * Proven ability to design cloud-based data platforms, with strong experience in Azure (required) and solid exposure to AWS and/or Google Cloud * Azure experience to include services such as Azure SQL, Azure Data Lake, Synapse Analytics, Azure Data Factory, Databricks, Purview, and Azure ML * Ability to translate business objectives into architectural decisions and clearly articulate trade-offs, risks, and recommendations * Comfortable interfacing with stakeholders at all levels, from executives to hands-on engineers * Working knowledge of data governance, security, privacy, and regulatory considerations Education: * Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field. ## Description As a Data Architect, you will play a critical role in designing, governing, and evolving enterprise data platforms that enable advanced analytics, AI, and business decision-making. You will partner closely with clients, engineering teams, and stakeholders to define scalable, secure, and high-performing data architectures, ensuring alignment with business strategy and technology roadmaps. What you will do at Sogeti: * Design, document, and govern end-to-end data architectures across modern data platforms, including data lakes, data warehouses, and streaming architectures * Lead data architecture strategy engagements, including current-state assessments, future-state architecture design, and roadmap development * Define and enforce data standards, integration patterns, data modeling practices, and architectural best practices * Partner with data engineering, analytics, and data science teams to ensure architectures are scalable, reliable, and fit for purpose * Serve as a trusted advisor to clients by translating business requirements into technical data solutions and presenting architectural recommendations to executive and technical audiences * Own architectural solutioning for data and analytics initiatives, including alignment with security, governance, privacy, and compliance requirements * Support business growth through pre-sales activities such as solution design, architecture reviews, and contribution to proposals and thought leadership * Collaborate with alliance partners and internal teams to develop repeatable assets, accelerators, and go-to-market data architecture solutions * Continuously evaluate emerging data technologies and patterns to drive innovation and modernization across the data ecosystem ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [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) - [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) - [Hacking MSSQL on Cloud. 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