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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Architect - Data Architecture & Engineering - **Company:** City of Tacoma - **Location:** Tacoma, WA, United States - **Salary:** $131,248.0 - $184,808.0 - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Data Architecture, Information Engineering, Data Streaming, Systems Integration, Enterprise Data Management, Snowflake, Build Management, Information Technology, Data Pipelines - **Published:** July 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=bfe784dd14d82518 ## About the Role Minimum Education* Bachelor's degree in information technology or directly related field Minimum Experience* 5 years of data engineering, architecture, or administration experience that includes cloud data warehouse technology and AWS or Azure big data ecosystem experience, and year prior at senior, lead and/or supervisory level * Equivalency: 1 year of experience = 1 year of education ## Description Tacoma Public Utilities is looking for a Solution Architect - Data Architecture & Engineering, who is excited to design scalable data solutions, build reliable data pipelines, and help shape how data supports decision-making across the organization. In this role, you'll design and build the data architectures and pipelines that power TPU's decision-making, and fuel advanced analytics and AI efforts. You won't just prepare data for others, you'll play an active role in shaping the data foundations that will enable a more resilient future. Your work directly influences how data flows, how people access it, and how we uncover deeper understanding across the organization. You'll collaborate closely with business and technical teams, translating jargon into plain language and helping customers make smart data choices. And while you'll bring solid foundational skills in data engineering, visualization, and architecture concepts, we're excited to invest in your growth - whether that's Snowflake, AWS, or diving further into advanced analytics and AI technologies. We are a team of data professionals who partner across TPU to solve complex challenges, improve data maturity, and help teams make better decisions. You will be joining a team that values a culture where questions are encouraged, ideas are shared openly, and improvement comes from learning together - we are excited to have you be a part of it! Key Responsibilities Data Architecture | Designs and develops data architectures, integrations, and pipelines that support analytics, reporting, operational needs, and future AI capabilities. Ensures solutions are reliable, scalable, secure, and aligned with TPU technology standards. Data Engineering | Builds and maintains data pipelines and engineering solutions that enable efficient movement, transformation, and availability of enterprise data. Develops documentation and technical practices that improve reliability, maintainability, and knowledge sharing. Subject Matter Expert | Serves as a trusted technical advisor for data architecture and engineering decisions. Partners with business and technical teams to evaluate solutions, recommend best practices, and translate complex technical concepts into practical outcomes. Community Participation | Maintains awareness of evolving data technologies, architecture practices, and industry trends. Shares knowledge with the broader data community and contributes to TPU's continued growth in data maturity. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [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) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [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 - [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) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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) - [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology)