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  

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