DTN-posted 4 days ago
Full-time • Mid Level
Austin, TX
1,001-5,000 employees

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. J ob 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.

  • 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
  • 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.
  • 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.
  • Experience with Semantic Stack architectures a significant plus.
  • 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.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service