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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # TELECOMMUTE Data Architect - **Company:** PamTen - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Computing Platforms, ARM Architecture, Microsoft Azure, Mobile Application Development, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Sharing, Data Systems, Data Vault Modeling, Data Warehousing, Dimensional Modeling, Disaster Recovery, Interoperability, Python (Programming Language), Metadata, Cloud Services, Search Technologies, SQL Databases, Data Streaming, Enterprise Data Management, Google Cloud, Large Language Models, Snowflake, Data Strategy, Git, Event Driven Architecture, Data Lakes, Infrastructure Automation Frameworks, Data Management, Marketplace, Data Pipelines, Microservices - **Published:** August 15, 2026 - **Apply:** https://www.dice.com/job-detail/9ea330d3-9317-4f5c-9d86-6791c1885604 ## About the Role 12+ years of experience in Data Engineering, Data Architecture, Data Warehousing, or Enterprise Architecture. Proven experience defining and implementing enterprise-scale data architectures and cloud data platforms. Experience leading modernization initiatives and architecture roadmaps across complex data ecosystems. Strong record of designing solutions that support analytics, operational reporting, AI/ML, and business growth. Mandatory Skills · Enterprise and solution data architecture · Snowflake-aligned platform architecture · Conceptual, logical, and physical data modeling · Data warehouse, lakehouse, and data-lake architecture · Batch, streaming, real-time, API, and event-driven integration patterns · Cloud architecture on Azure, AWS, or Google Cloud Platform · Metadata, lineage, data-quality, privacy, and governance architecture · Performance, resilience, availability, disaster recovery, and cost optimization · Architecture standards, reference patterns, design reviews, and technology evaluation Functional / Domain Experience Experience in at least one of the following domains: 1. Finance - FP&A, revenue analysis, budgeting, forecasting, or P&L analytics 2. Sales - sales operations, pipeline analytics, CRM insights, or revenue growth 3. Operations - process optimization, workforce planning, productivity, or operational analytics Executive stakeholder management Technical leadership and strategic roadmap development Ability to connect business strategy with target-state data capabilities and investment priorities Technical Skills · Snowflake Data Cloud architecture and solution design · Enterprise data warehousing, lakehouse, data mesh, and data-product architectures · Dimensional modeling, Data Vault, and semantic data models · ELT/ETL, CDC, streaming, and data-pipeline architecture · Snowpark using Python or SQL and Snowflake Cortex AI · Performance engineering, workload management, and FinOps principles · Data sharing, Snowflake Marketplace, and Native Applications · GenAI, LLMs, RAG, vector search, and AI-ready platform architecture · APIs, event-driven architecture, microservices integration, CI/CD, infrastructure as code, and Git ## Description We are seeking an experienced Data Architect to define and evolve enterprise data architecture and design scalable, secure, high-performing data solutions aligned with business strategy. The role will shape target-state architecture, platform capabilities, data patterns, and modernization roadmaps across ingestion, storage, transformation, governance, analytics, and AI consumption. The ideal candidate combines deep architecture expertise with strong understanding of Finance, Sales, or Operations. This role partners with Product, Engineering, Analytics, AI, and business leaders to establish architecture direction, guide solution design, and ensure the data platform remains reusable, interoperable, governed, and future-ready. Key Responsibilities Design Scalable Data Solutions: · Architect end-to-end data solutions spanning ingestion, integration, transformation, storage, serving, analytics, and AI consumption. · Define conceptual, logical, and physical data architectures and select appropriate patterns for batch, streaming, and near-real-time use cases. · Ensure designs meet scalability, performance, resilience, availability, security, and disaster-recovery requirements. · Lead architecture reviews and guide engineering teams through solution implementation. Build and Evolve the Data Platform: · Define target-state architecture for modern data warehouses, lakehouses, data lakes, and analytical platforms. · Create platform blueprints, reference architectures, reusable patterns, and technology standards. · Guide legacy modernization and migration to cloud-native, Snowflake-aligned architectures. · Evaluate platform capabilities and recommend investments based on business value, interoperability, scalability, and cost. Drive Data Strategy and Collaboration: · Translate business strategy into data capabilities, architecture roadmaps, and prioritized modernization initiatives. · Partner with Product, Engineering, Analytics, AI, Security, and business leaders on architecture decisions. · Communicate trade-offs, risks, dependencies, and recommendations to technical and executive stakeholders. · Provide architecture leadership and mentor teams on patterns and design decisions. Ensure Standards and Innovation: · Establish standards for data modeling, integration, metadata, lineage, quality, interoperability, security, and responsible data use. · Ensure solution designs align with enterprise architecture, privacy, compliance, and governance principles. · Evaluate emerging technologies in AI, automation, streaming, and cloud data platforms. · Promote reusable data products, engineering excellence, and continuous architecture improvement. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [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) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)