Job Application Deadline: 01/31/2027
What You'll DoStrategic Architecture & Technical Leadership
- Platform Evolution: Lead the design and evolution of our modern data platform architecture, ensuring it remains scalable, available, and performant.
- Pattern Implementation: Apply in-depth knowledge of advanced architectural patterns-such as Event Driven, CQRS, event sourcing, and Saga patterns-to solve complex data challenges.
- Technical Governance: Develop, document, and communicate standard methods and processes to be utilized within our technology stack, including dbt, Airflow, Snowflake, Kafka, and traditional ETL.
- Strategic Collaboration: Act as a key partner to senior leadership on strategic data projects and build strong working relationships with other IT leaders by providing technical acumen and thought leadership.
Data Engineering & Distributed Systems
- Enterprise-Scale Infrastructure: Architect and manage enterprise-scale data platforms while setting best practices for development teams, including security, privacy, monitoring & alerting, and CI/CD.
- Advanced Data Modeling: Implement sophisticated data modeling strategies, including Kimball, Inmon, or Data Vault, and drive the transition toward modern concepts like Data Mesh.
- Complex Problem Solving: Provide solutions for complex business problems, enabling insights that can empower better decision-making across the organization.
- Operational Excellence: Set and enforce best practices for the full software development and technology management life cycle, including coding standards, code reviews, source control management, and testing.
Mentorship & Culture
- Culture of Excellence: Take an active role in fostering a culture of learning and excellence within the engineering organization.
- Influence through Data: Leverage data to prioritize work and influence others across the organization.
- Change Management: Proactively implement change and improvements when seeing opportunities to optimize the platform or processes.
The Skills and Experience You'll Bring- Experience: 7+ years of relevant professional engineering experience, with a proven track record of building and operating large-scale distributed systems.
- Education: Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.
Technical Proficiency:
- Data Engineering: Strong data engineering background working with dbt, Snowflake, Kafka, and cloud-based services (AWS S3, EMR, Glue).
- Infrastructure & Tooling: Hands-on experience with Terraform, Airflow, Tableau, MySQL, and Oracle.
- Software Engineering: Deep knowledge of professional software engineering practices for the full technology management life cycle; experience with Agile is preferred.
- Communication: Excellent verbal and written communication skills with an interest in continuous learning and improvement.
Current Technologies Being Used Today:- Data Warehouse: Snowflake, Oracle, MySQL
- Transformation: dbt (data build tool)
- Orchestration: Apache Airflow
- Programming: Python, SQL
- Streaming: Kafka
- Cloud: AWS (S3, EMR, Glue)
- Infrastructure: Terraform
- Medical, Dental, Vision, Life, and AD&D insurance
- Parental Leave
- Flexible Vacation Time (FVT)
- An additional 10 holidays of paid time off per calendar year
- 401k matching (immediately vested)
- Employee Stock Purchase Plan
- Short- and Long-term disability sick leave
- Flexible Spending Accounts
- Health Savings Accounts
- Employee Assistance Program
- Additional programs - Employee Referral, Internal Recognition, and Wellness
- Free TriMet transit pass (Beaverton Office)
- Competitive salary and benefits package
- Work on impactful projects in a cutting-edge environment
- Collaborative and supportive team culture
- Opportunity to make a real difference in the trucking industry
- Employee Resource Groups
For Colorado-based candidates, in compliance with the Colorado Equal Pay for Equal Work Act, the salary range for this role is $173,000.00 - $216,000.00 + target bonus. DAT considers factors such as scope and responsibilities of the position, candidate's work experience, education and training, core skills, internal equity, and market and business elements when extending an offer.
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