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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Platform Architect - Onsite - **Company:** CGS Business Solutions - **Location:** Irvine, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Data Analysis, Application Integration Architecture, Information Systems, Data Architecture, Data Dictionary, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Information Management, Interoperability, Logical Data Models, Machine Learning, Meta-Data Management, Metadata Repositories, Performance Tuning, Enterprise Data Management, Data Logging, Enterprise Software Applications, Cloud Platform System, Feature Engineering, Snowflake, Data Layers, AI Platforms, Semi-structured Data, Information Technology, Enterprise Integration, Operational Systems, Data Management, Machine Learning Operations - **Published:** August 8, 2026 - **Apply:** https://www.dice.com/job-detail/fd3f63bd-d6d7-464a-a6b8-19f7526feb9f ## About the Role * Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field required. * Master's degree in Computer Science, Information Management, or a Business/Technology discipline preferred. Experience * 10+ years of experience in data architecture, data engineering, or enterprise data platforms. * 5+ years in a senior or lead architecture role responsible for platform strategy, standards, and governance at an enterprise level. * Proven experience designing and supporting cloud-based data platforms, preferably Snowflake, including lakehouse and medallion architectures. * Hands-on experience with ELT/ETL technologies, data modeling, and metadata management, including dbt, Fivetran, or comparable solutions. * Strong experience designing enterprise integration solutions using API-led, event-driven, and batch integration patterns. * Demonstrated success implementing and enabling self-service BI and analytics environments with governed semantic layers. * Experience or exposure to machine learning and AI platforms, including MLOps practices for deploying and operationalizing models. * Proven ability to partner with business leaders and technical teams to align data platform capabilities with strategic business priorities, including growth, efficiency, compliance, and innovation. * Exceptional leadership, communication, and stakeholder management skills, with the ability to influence both technical teams and executive audiences. ## Description Our nationwide manufacturing customer is seeking a FULL TIME Principal Data Platform Architect who will be responsible for defining and executing the company's enterprise data platform strategy and roadmap. This role will architect a modern Snowflake-based lakehouse environment, enable scalable self-service BI, drive integration across enterprise systems and data domains, and establish the data foundation needed to support machine learning and AI initiatives., Define and Lead the Enterprise Data Platform Strategy and Roadmap * Develop and maintain the overall architectural vision for data, integration, analytics, and AI platforms. * Align data platform capabilities with evolving business priorities, including growth, operational efficiency, compliance, and innovation. * Establish enterprise architecture principles, standards, best practices, and governance frameworks. Design and Govern Snowflake-Based Lakehouse Architecture * Design and oversee logical data models across bronze, silver, and gold layers within a medallion architecture. * Establish standards for data quality, lineage, security, and accessibility across structured and semi-structured data. * Drive performance optimization, cost efficiency, scalability, and multi-tenant architecture across the platform. Lead Integration Architecture Across Systems and Data Domains * Define scalable integration patterns using API-led, event-driven, and batch-based approaches. * Establish consistent standards for error handling, monitoring, logging, and metadata management. * Ensure seamless interoperability across enterprise applications, data platforms, data warehouses, and operational systems. Enable and Expand Self-Service BI and Analytics * Architect governed semantic layers and reusable datasets to support enterprise analytics and reporting. * Establish governance and standards distinguishing certified, trusted analytics from exploratory and ad hoc reporting. * Develop frameworks supporting data catalogs, data dictionaries, business definitions, and end-user documentation. Establish the Foundation for Machine Learning and AI Platforms * Ensure data architecture and pipelines are designed to support ML feature engineering, model development, and training. * Partner with data science and engineering teams to establish scalable MLOps standards and best practices. * Enable the reuse of trusted enterprise data assets across predictive analytics and generative AI use cases. ## 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) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [How to govern Vibe Coding for the Enterprise](https://www.wearedevelopers.com/videos/100290-how-to-govern-vibe-coding-for-the-enterprise) - [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) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-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) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)