For decades, DTN has been the silent force behind some of the world’s most critical industries—helping businesses navigate complexity, uncertainty, and risk with smarter, faster decisions. From agriculture to energy to weather intelligence, our proprietary Operational Decisioning Platform transforms raw data into decision-grade insights—enabling companies to optimize supply chains, ensure market stability, and safeguard infrastructure against disruption. We don’t follow trends—we set the standard for precision, trust, and operational impact.
DTN is at an exciting inflection point. Building off a foundation of financial strength, profitability, and industry trust, we’re accelerating growth and expanding our global footprint. Our purpose-built solutions—powered by AI and honed by decades of vertical expertise—are helping some of the world’s most significant enterprises thrive amid operational constraints and uncover new opportunities in a fast-changing world.
Job Description:
We are looking for a Architect at Large to join our Engineering team. This role will work closely with the Chief Architect, Engineering leadership, and other technical staff and product owners to craft best-in-class solutions for innovating against DTN’s extraordinary data assets, and scaling its operations into the future using next-generation tools and approaches.
What you will be responsible for:
Collaborate closely with engineering managers and engineering squads to design, develop, and oversee implementation of technical solutions for a variety of opportunities and challenges within DTN’s technology base.
Work closely with the Chief Architect to ensure solutions follow the core tenets of DTN’s technology strategy.
Create and curate DTN’s architectural documentation, including Architectural Design Reviews and other technical documentation.
Govern, prioritize, and drive mitigation for technical debt/operational risk related data engineering, data warehousing, ETL processes, etc.
Coordinate design reviews with key stakeholders regarding innovation and tech debt solutions within the scope of expertise.
Establish and espouse best-practices across and within the Technical Guilds at DTN that will be used by team members in all sectors of DTN’s operations
Facilitate resolutions of technical conflicts and help the team with trade-offs.
What you will bring to the role:
8+ years data modeling and data engineering experience, with a focus on petabyte-scale data warehousing and processing. Commensurate experience with API design, cloud data pipelines, ETL systems, and related topics. Experience with Semantic Stack architectures a significant plus.
Ability to lead and influence to a wide range of audiences without direct reports/authority.
Expertise in cleansing, structuring and transforming data, in diverse formats and from diverse sources.
Strong experience building applications, ETL systems & data management systems using technologies within the AWS ecosystem.
Experience with data cataloging & master-data-management
Solid understanding of object-oriented programming, build tools, development frameworks and version control systems
Demonstrated ability to design and document system-level architectures, assess solution viability and tradeoffs, and present impactful analyses for decision-making on technical direction.
Experience integrating with CI/CD tools such as Bitbucket Pipelines, Bamboo, Gitlab, Terraform, etc.
What Will Make You Stand Out:
Strong practical experience with both Agile and SCRUM
Strong faculty with the AWS ecosystem, specifically with native-service components. Significant experience building, deploying and maintaining large-scale automated solutions on AWS.
Data Science, Data Engineering and/or ML experience (Jupyter&/Python)
Large-scale API design, specifically including GraphQL and related technologies.
About DTN:
DTN is a global data and technology company helping operational leaders in energy, agriculture, and weather-driven industries make faster, smarter decisions. Our Operational Decisioning Platform turns complex data into decision-grade insights—empowering customers to expand their margins, accelerate growth, and outpace risk. With more than 1,200 employees globally, DTN serves the companies that feed, fuel, and protect the world.
At DTN, we value clarity, trust, and action. We’re a team of problem-solvers, outcome-drivers, and industry nerds who believe that precision matters – and that mission is at the core of what we do.
Trust Built: We earn it. We keep it. We protect it. Our neutrality, precision, and integrity are non-negotiable.
Confidence-Driven: We help customers move with clarity and conviction. We bring the data and operational knowledge leaders need to act.
Built for Industry: We speak operations because we come from operations. Our expertise is forged in fuel terminals, fields, flight paths, and forecasts.
Future-Forward: We see what’s coming- and we’re ready. We help customers lead through change with smarter decisioning.
Recruitment Fraud Notice:
DTN is aware of incidents where external parties have impersonated our organization, issuing fraudulent communications and/or job offers. Please be advised that all legitimate communication from DTN will come from an official @dtn.com email address or through our Paradox AI automated scheduling platform (Talent IQ). Any offers are extended directly by our Talent Acquisition team following a formal interview process.
If you receive a suspicious message or offer claiming to be from DTN, please do not engage. Contact our Talent Acquisition team at [email protected] to verify the legitimacy of any communication. Report any fraudulent messaging as phishing or spam.
DTN is an Equal Opportunity Employer. We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.
Top Skills
Similar Jobs
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
