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Architect (Data) - Enterprise Data & Analytics, IS Core

Company 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 Enterprise Data & Analytics (ED&A), is responsible for driving the vision and design of the overall data framework and policies within the department and enterprise that deliver positive business outcomes. This includes identifying, prioritizing, and communicating work that strengthens our existing products while modernizing our framework solutions to meet evolving company needs. As a data architect, your key relationships will be with the Core Portfolio Architects, Enterprise data engineers, Enterprise data Architects, and ED&A technical leaders.

KEY RESPONSIBILITIES

  • Collaborating with other Enterprise Data architects to understand and support the strategic direction of the enterprise
  • Collaborating with Enterprise Data & Analytics leadership to provide a high-level, all-inclusive vision of Enterprise Data & Analytics solutions and development initiatives
  • Understanding and communicating Strategic Themes, and other key business drivers for data architecture, to technical and nontechnical stakeholders within the Enterprise Data & Analytics group and Enterprise
  • Driving data architectural initiatives and supporting the backlog grooming process
  • Creating data modeling, design, coding, and influencing the extract, transform and load (ETL) best practices
  • Developing data governance policies and standards across Core Enterprise Data & Analytics and the Enterprise, for example building in data quality and ensuring data semantics are defined
  • Collecting, generating and analyzing innovative ideas and technologies to use across the business
  • Coach data engineers and identify training opportunities
  • Collaborating with data engineers to implement the data architecture
  • Prepare, manage, and coordinate breakdown of enablers for scrum teams.
  • Understand the Data Architecture of all systems and address conflicting or divergent approaches
  • Create and implement strategies for data framework modernization within the ED&A group and Enterprise
  • Create and implement strategies for technology adoption with the ED&A group.

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

  • 3+ years of Experience as a Senior Data Engineer or in a Data Architect role
  • Personal and professional alignment with Expeditors culture and ten critical success factors
  • Strong leadership, communication, and execution capabilities
  • Experienced problem solver, strong collaborator and able to provide clarity around complex topics
  • Expertise with Big Data ecosystem services, such as Spark/SparkSQL, Kafka, Apache NiFi, Hadoop/Hive, MongoDB, HBase, and Kafka Streams.
  • Expertise in relational and NoSQL database structure and design 
  • Experience with Data & Analytics systems or solutions in the cloud (Azure preferred)
  • Experience with DevSecOps, Lean, Agile and the Scaled Agile Framework (SAFe)
  • Assertive personality, interpersonal, action and outcome driven leadership
  • Ability to actively inspire, coach, mentor and motivate
  • Ability to promote autonomy, mastery and purpose, through empowerment and creating leaders
  • Ability to translate business requirements into technical specifications

DESIRED QUALIFICATIONS

  • BA/BS Computer Science, MIS, or related degree preferred
  • Global logistics/Supply chain business knowledge
  • Proven experience as a logistics and technology oriented leader
  • Experience in a technical role such as systems/data/business analysis, project management, or software development
  • 3+ years' experience building scalable data services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.  
  • Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders  

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 $240,000

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.

Average salary estimate

$202500 / YEARLY (est.)
min
max
$165000K
$240000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Architect (Data) - Enterprise Data & Analytics, IS Core, Expeditors

At Expeditors, we’re not just about shipping; we’re about empowering businesses with data-driven insights. As a Data Architect on our Enterprise Data & Analytics team, you're stepping into a pivotal role that drives the vision and design of our data framework. You’ll collaborate closely with Core Portfolio Architects and data engineers to develop innovative solutions that enhance our products and meet evolving business needs. Imagine being at the heart of a Fortune 500 company, shaping our data strategies while fostering an inclusive and friendly workplace culture. Your day-to-day responsibilities will include creating data models, coaching engineers, and communicating strategies to both technical and non-technical stakeholders. You’ll be instrumental in developing governance policies that ensure high-quality data practices across our core projects. We value problem solvers and strong collaborators, so your expertise in Big Data services, cloud solutions like Azure, and agile methodologies will be invaluable. If you have a passion for modernizing data frameworks and leading talented teams, this full-time position based in the vibrant Seattle area could be your next great career move. Join Expeditors where your work will not only influence our operations but also contribute to an innovative approach in logistics and supply chain management.

Frequently Asked Questions (FAQs) for Architect (Data) - Enterprise Data & Analytics, IS Core Role at Expeditors
What are the main responsibilities of the Data Architect position at Expeditors?

The Data Architect at Expeditors is responsible for driving the data framework and policies that lead to positive business outcomes. This includes collaborating with architects, engineers, and leadership to understand the strategic direction, developing data models, and implementing data governance policies to ensure high-quality data usage across the enterprise.

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What qualifications are required for the Data Architect role at Expeditors?

To be considered for the Data Architect position at Expeditors, candidates should have at least 3 years of experience in a senior data engineering or data architect role. Key qualifications include strong leadership abilities, experience with Big Data ecosystems such as Spark and Kafka, and expertise in both relational and NoSQL databases, along with familiarity with cloud-based data solutions.

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How does Expeditors support employee development in the Data Architect role?

Expeditors emphasizes professional growth within the Data Architect position by coaching data engineers and providing training opportunities. The company also has a training and personnel development program that encourages continuous learning and skill advancement, which is crucial in the fast-paced data landscape.

Join Rise to see the full answer
What technology stack should a Data Architect at Expeditors be familiar with?

A Data Architect at Expeditors should be proficient in the Big Data ecosystem including technologies such as Spark/SparkSQL, Kafka, and Hadoop. Moreover, experience in cloud environments like Azure, as well as understanding of data governance practices, ETL processes, and agile methodologies, are essential for success in this role.

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Is the Data Architect position at Expeditors remote or on-site?

The Data Architect role at Expeditors is an on-site position located in the Seattle area. Candidates should be local or willing to relocate, as remote work options are not available for this position. The work environment fosters collaboration and innovation, making it an exciting place for data professionals.

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Common Interview Questions for Architect (Data) - Enterprise Data & Analytics, IS Core
What experience do you have with Big Data technologies?

When answering this question, it's important to highlight your familiarity with specific technologies like Spark, Kafka, or Hadoop. Provide examples of projects where you have applied these technologies and discuss the outcomes. This showcases your practical knowledge and ability to leverage these tools effectively.

Join Rise to see the full answer
Can you describe your approach to data governance?

Discuss your methodology for establishing data governance policies. Emphasize your focus on data quality, accuracy, and compliance. Include how you've implemented these practices in previous roles, ensuring that all team members adhere to the standards to maintain data integrity.

Join Rise to see the full answer
How do you handle conflicts within technical teams?

Provide an example that illustrates your conflict resolution skills. Discuss how you approach disagreements by fostering open communication and collaboration. Talk about your ability to find common ground and ensure that team goals are prioritized, which helps in maintaining a productive work atmosphere.

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What strategies do you utilize for data modeling?

Share your data modeling techniques, including how you gather requirements and involve stakeholders in the process. Illustrate your ability to translate business needs into technical data structures and how you've adapted your models to accommodate evolving business requirements.

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How do you ensure effective communication with non-technical stakeholders?

Emphasize the importance of understanding your audience. Discuss how you simplify complex technical concepts using relatable examples. Providing regular updates and utilizing visual representations can also help bridge the gap between technical and non-technical discussions.

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Describe a project where you modernized a data framework.

Outline your experience in leading data framework modernization projects. Include specifics about the challenges faced, the technologies employed, and the outcomes achieved. This showcases your expertise in driving transformation and improving data handling processes.

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What is your experience with cloud-based data solutions?

Highlight your experience with cloud platforms like Azure, AWS, or GCP. Discuss specific projects where you've deployed data solutions in the cloud and how these solutions improved scalability and performance for the business.

Join Rise to see the full answer
How do you mentor junior data engineers?

Discuss your mentoring style and how you focus on empowering junior engineers. Speak about your methods for providing constructive feedback, guiding their projects, and encouraging autonomous problem-solving, which is vital for developing their skills.

Join Rise to see the full answer
What is your approach to backlog grooming in Agile environments?

Explain how you prioritize tasks in the backlog based on business needs and technical priorities. Discuss the importance of collaboration with your team and stakeholders during grooming sessions to ensure alignment on project goals and deadlines.

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Can you provide an example of a successful data analytics initiative you've led?

Share a compelling case study from your past experience where you led a data analytics initiative. Detail the goals, the data strategies implemented, and the tangible results achieved. This not only demonstrates your leadership capabilities but also your impact on driving business decisions.

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Full-time, on-site
DATE POSTED
April 4, 2025

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