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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** INTETICS CO - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Adobe InDesign, Artificial Intelligence, Machine Learning, Blockchain, Software Engineering, Uipath - **Published:** September 8, 2026 - **Apply:** https://intetics-2.workable.com/jobs/6085399/candidates/new ## About the Role * Proven experience as a Data Architect with end-to-end architecture ownership. * Strong hands-on experience with the Azure Data Platform. * Minimum 4 years of recent Azure experience. * Strong expertise with: Azure Synapse Analytics, Azure Data Factory (ADF),Azure Data Lake Storage (ADLS),Azure SQL / SQL Server, Azure Cosmos DB, Databricks * Strong experience with: Data Engineering, Data Warehousing, ETL/ELT architectures, Data Modeling, Incremental Processing, Cloud Data Platforms * Advanced SQL and Python skills. * Experience designing and implementing large-scale cloud data solutions. * Strong experience working with both structured and unstructured data. * Excellent communication and stakeholder management skills., * Synapse Pipelines * Spark Pools * Serverless SQL * Dedicated SQL Pools * Workload optimization and architecture design * Data lake integration patterns * Large-scale analytical platforms Azure Cosmos DB Expertise Hands-on experience with: * Data modeling, Partition key strategy, Indexing, Scalability design, Throughput and RU optimization, Cost optimization, Consistency models, Change Feed, Distributed database architectures, * Strong architecture ownership and decision-making experience. * Experience modernizing and improving existing data platforms. * Ability to quickly assess complex environments and provide actionable recommendations. * Experience designing reusable and scalable ingestion frameworks. * Deep understanding of structured and unstructured data processing. * Strong data modeling experience for enterprise analytics platforms. * Ability to balance short-term business needs with long-term architectural vision. * Technology-neutral mindset when selecting tools and services based on requirements, scalability, performance, and cost. * Experience producing implementation-ready architecture deliverables., * Lakehouse architecture experience. * Experience with AI-driven analytics solutions. * Data governance and compliance experience. * Experience supporting enterprise reporting and analytics environments. * Knowledge of modern cloud-native architecture patterns. ## Description We are seeking a highly experienced Senior Data Architect with demonstrated ownership of enterprise-scale Azure Data Platform architectures. The ideal candidate will be responsible for designing, modernizing, and optimizing complex data environments, while defining clear architectural direction and delivering implementation-ready solutions. This role requires a combination of strategic thinking and hands-on expertise across Azure Data Platform technologies, Databricks, data warehousing, and modern data architecture practices., * Design and own enterprise-scale data platform architectures on Azure. * Assess existing data environments and identify opportunities to improve scalability, performance, maintainability, and data quality. * Define and implement modern data platform architectures using Azure services and Databricks. * Design reusable and metadata-driven data ingestion frameworks. * Architect and optimize structured and unstructured data processing solutions. * Design and maintain scalable data models and analytical platforms. * Define both tactical improvements and long-term target-state architectures. * Create architecture documentation, technical specifications, and implementation guidelines. * Collaborate with engineering teams, stakeholders, and business users to translate requirements into scalable solutions. * Establish best practices for data governance, architecture standards, data quality, and platform reliability. * Support engineering teams during implementation and architecture adoption., * Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure SQL / SQL Server, Azure Cosmos DB, Databricks, Python, SQL, ETL/ELT, Data Warehousing, Data Modeling What We Offer * Challenging enterprise-scale projects. * Opportunity to drive architecture decisions and platform modernization initiatives. * Collaboration with international teams. * Long-term cooperation and professional growth opportunities. * Innovative and supportive work environment. ## 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) - [How to achieve web automation with UiPath](https://www.wearedevelopers.com/videos/310-how-to-achieve-web-automation-with-uipath) - [Pragmatic Blockchain Design Patterns: Integrating Blockchain into Business Processes](https://www.wearedevelopers.com/videos/1579-pragmatic-blockchain-design-patterns-integrating-blockchain-into-business-processes) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [RPA crash course for .Net developers – intro into the world of RPA from the perspective of a .Net developer](https://www.wearedevelopers.com/videos/271-rpa-crash-course-for-net-developers-intro-into-the-world-of-rpa-from-the-perspective-of-a-net-developer) - [Develop a Blockchain Application in JavaScript with Lisk SDK](https://www.wearedevelopers.com/videos/188-develop-a-blockchain-application-in-javascript-with-lisk-sdk) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)