Architect (Data Modeling) - MME, IS Operational Experience
Seattle, WA, United States
Full Time Senior-level / Expert USD 165K - 200K
Expeditors
Expeditors is a global logistics company headquartered in Bellevue, Washington. The company employs trained professionals seamless worldwide network through anCompany Description
“We’re not in the shipping business; we’re in the information business” -Peter Rose, Expeditors Founder
Global supply chain management is what we do, but at the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics.
- 18,000 trained professionals
- 350+ locations worldwide across 60+ countries
- Fortune 500
- Globally unified systems
Job Description
The Data Architect for team Model, Map, and Enable, IS Operational Experience, will be responsible for working with subject matter experts, domain engineering teams, and other data engineers to model and build data manipulation methods into a medallion architecture within Microsoft Dat Fabric.
This position will build and maintain high quality performant data products that combine transportation and freight data from our logistics applications and our new logistics platform services into data products for a variety of consumers.
As a Data Architect you will:
- 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.
This position is on-site and will reside in the greater Seattle, WA. area at one of the following locations depending on availability. Candidates must be local or willing to relocate. Relocation assistance is not offered for this position.
- Downtown Seattle
- Federal Way
- Lynnwood
- Bellevue (Factoria)
Qualifications
MINIMUM QUALIFICATIONS
- 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.
DESIRED 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.
Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not transfer or sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity.
Additional Information
Expected base salary: $165,000 to $200,000
Eligible for bonus.
Expeditors offers competitive benefits to all full-time employees including:
- Paid vacation
- Holidays (10)
- Flexible Days (2)
- Paid Sick Time (accrual rate of 1 hour of sick time per 30 hours paid)
- 401(k) Retirement Savings Plan with employer match
- Employee Stock Purchase Plan (ESPP)
- Medical, Prescription Drug, Dental & Vision Coverage
- Health Savings Account (HSA)
- Life and Disability Insurance
- Paid Parental Leave (additional eligibility criteria)
- Dependent Care Flexible Spending Account (DC FSA)
- Commuter Benefit
- Employee Assistance Program (EAP)
- Training and Personnel Development Program
- Educational Assistance and Reimbursement
- Position is full time (40 hours per week) Monday through Friday
All your information will be kept confidential according to EEO guidelines.
Tags: Architecture AWS Azure Computer Science Data quality Engineering GCP Java Kafka Mathematics Python RDBMS Scala Spark SQL Streaming
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Flex hours Flexible spending account Flex vacation Health care Insurance Medical leave Parental leave Relocation support Salary bonus
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