Architect – Data Modeling – IS Operational Experience
| Company | Expeditors |
|---|---|
| Location | Seattle, WA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- Strong customer focus and communication skills with ability to translate complex business processes into technical solutions.
- Bachelor’s degree in computer science, mathematics, computer science, or related field AND 5+ years experience in software development, data modeling or data engineering work OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ year(s) experience in software development, or data engineering work OR equivalent experience.
- 5+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Scala, SQL.
- Experience working with Kafka, Spark, Lakehouse architectures and distributed technologies.
- 3+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
Responsibilities
- Develop models and data pipeline to ingest, manage, store, and provision data for our domain data products.
- Write high-quality, well-tested, secure, and maintainable code to ensure the performance and reliability of data extraction and processing.
- Work collaboratively with other platform architects, infrastructure and application engineers as well as business subject matter experts to build next generation data platform products and services.
- Build expertise and ownership of data quality for supported domains.
Preferred Qualifications
- Knowledge or experience in the Transportation and Logistics industries.
- Experience with Microsoft Fabric tools and infrastructure.
- Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies.