> Markdown version of [/jobs/ext/3086660-data-platform-architect](https://www.wearedevelopers.com/jobs/ext/3086660-data-platform-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Platform Architect - **Company:** Accenture - **Location:** United States - **Experience:** Expert - **Salary:** $124,000.0 - $246,400.0 - **Contract:** Permanent contract - **Skills:** Big Data, Code Review, Data Architecture, Data Infrastructure, Distributed Computing Environment, Python (Programming Language), Operational Data Store, Security Software, Data Processing, Model-Driven Development, Technical Debt, Data Lakes, Data Pipelines, Devsecops - **Published:** September 26, 2026 - **Apply:** https://www.dice.com/job-detail/e0d32c16-74c7-44b8-9061-d5c222a6bd3d ## About the Role * Hands-on development/engineering experience (data architecture/platforms) * Python development skills and familiarity with data processing, orchestration, and/or analysis tools * Experience working with senior stakeholders and/or leading engineering teams, adjusting depth/language as needed * Experience setting technical direction through influence, standards, and design leadership Bonus Points if you have: * Ability to turn unclear stakeholder direction into defensible technical requirements/designs * Experience designing/delivering data lake, lakehouse, or large-scale data platform solutions (e.g.: ingestion, storage, transformation, governance, consumption) * Experience with distributed data processing frameworks and/or modern open data formats * Experience with architecture governance (e.g.: review boards, design reviews, consensus building) * Experience supporting test, evaluation, or operational data workflows with large data collection/analysis * Experience with data tagging, classification, and segregation in strict access control environments * Experience delivering in DevSecOps pipelines with automated security/compliance controls * Familiarity with MBSE and model-driven approaches to systems/data design * Experience in SAFe or similar scaled agile environments * Experience mentoring engineers and raising technical capability without formal management Clearance: Must have an active Top Secret level clearance ## Description * Own technical vision and roadmap for the data platform (data lake/lakehouse, ingestion, modeling, governance, analytics) * Translate vision into design decisions, standards, and reference patterns for engineering * Present and defend architecture positions to the Architecture Review Board; communicate approved decisions to the team * Influence architectural direction beyond the data platform as the program matures * Identify and retire technical debt with clear rationale * Remain hands-on: prototype, review code, build reference implementations, set engineering quality standards * Design/build data pipelines and platform services in Python and related tools, focusing on performance, reliability, maintainability * Establish data quality, lineage, and observability practices * Ensure security and compliance requirements are met from the start Stakeholder Engagement * Engage government customers and mission stakeholders to clarify direction and requirements * Communicate technical vision, tradeoffs, and risks to senior stakeholders in actionable language * Ensure technical team understands both what to build and why * Represent the data platform in customer and partner discussions Documentation and Standards * Document decisions, standards, patterns, and rationale for transparency and onboarding * Contribute to and uphold engineering and architecture standards How We Work * SAFe Lean-Agile delivery with 2-week sprints * Model-Based Systems Engineering (MBSE) * DevSecOps with security/compliance built into the pipeline * Decentralized command: teams own execution, technical leaders set direction and remove ambiguity ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [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) ## 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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)