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About the Role

Lead the design and evolution of a modern data platform architecture, applying advanced architectural patterns to solve complex data challenges. Provide technical leadership and collaborate with senior leadership on strategic data projects.

Responsibilities

Lead the design and evolution of our modern data platform architecture, ensuring it remains scalable, available, and performant.
Apply in-depth knowledge of advanced architectural patterns—such as Event Driven, CQRS, event sourcing, and Saga patterns—to solve complex data challenges.
Develop, document, and communicate standard methods and processes to be utilized within our technology stack, including dbt, Airflow, Snowflake, Kafka, and traditional ETL.
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.
Architect and manage enterprise-scale data platforms while setting best practices for development teams, including security, privacy, monitoring & alerting, and CI/CD.
Implement sophisticated data modeling strategies, including Kimball, Inmon, or Data Vault, and drive the transition toward modern concepts like Data Mesh.
Provide solutions for complex business problems, enabling insights that can empower better decision-making across the organization.
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.
Take an active role in fostering a culture of learning and excellence within the engineering organization.
Leverage data to prioritize work and influence others across the organization.
Proactively implement change and improvements when seeing opportunities to optimize the platform or processes.

Requirements

7+ years of relevant professional engineering experience, with a proven track record of building and operating large-scale distributed systems.
Hands-on experience with Terraform, Airflow, Tableau, MySQL, and Oracle.
Deep knowledge of professional software engineering practices for the full technology management life cycle.
Excellent verbal and written communication skills with an interest in continuous learning and improvement.

Skills

dbt
Airflow
Snowflake
Kafka
ETL
Event Driven architecture
CQRS
Event Sourcing
Saga patterns
Data Mesh
Kimball modeling
Inmon modeling
Data Vault modeling
AWS S3
AWS EMR
AWS Glue
Terraform
Tableau
MySQL
Oracle
Python
SQL
Agile

Location

Denver, CO
Portland, OR
Seattle, WA
Springfield, MO
Toronto, ON
Bangalore, India

Work Type

Hybrid

Experience Level

7+ years

Education Level

Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline

Salary/Compensations

$134,000.00 - $175,000.00 + target bonus

Benefits

Medical, Dental, Vision, Life, and AD&D insurance
Parental Leave
Flexible Vacation Time (FVT)
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
Employee Referral program
Internal Recognition program
Wellness program
Free TriMet transit pass (Beaverton Office)

About the Company

DAT Freight & Analytics is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of freight and logistics innovation for nearly five decades.
Founded in 1978, DAT operates the largest freight marketplace in North America — processing 250 million+ load posts annually and maintaining one of the largest repositories of freight market transaction data in the world.
On a defined path to $1 billion in revenue, DAT deploys a suite of software solutions, machine learning models, and intelligent automation tools that help brokers, carriers, and shippers price freight accurately, source capacity, reduce risk, and operate more efficiently.
With nearly 700 teammates across offices in Denver, CO; Portland, OR; Seattle, WA; Springfield, MO; Toronto, ON, and Bangalore, India, DAT combines the credibility of a multi-decade market leader with the drive of a company that is not done disrupting the industry it helped build.

Equal Opportunity

DAT embraces the value of a diverse workforce, and believes it is a core strength of our company that we encourage those values in every DAT employee, at every level of our organization, regardless of tenure or rank.
We provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)