Job description

About Odyssey Logistics Odyssey Logistics is a global logistics and supply chain partner helping businesses optimize performance through fully integrated, end-to-end solutions. We connect transportation, technology, and expertise across a broad network of services including 3PL and 4PL managed services, multimodal and intermodal transport, warehousing, trucking, Jones Act Ocean, and customs brokerage, ensuring goods move reliably, efficiently, and intelligently around the world. Today, Odyssey supports more than 6,000 customers globally, delivering scalable, data driven solutions across complex supply chains. What started with a single client has grown into a dynamic, evolving organization focused on performance, precision, and long-term partnership. What Sets Us Apart: Our work is complex, fast moving, and highly collaborative. Success here requires people who think strategically, operate with urgency, and navigate across functions to solve real business challenges. We value individuals who take ownership, challenge the status quo, and turn insight into action. Our culture is grounded in five core values: Win Together, Innovate Boldly, Drive Results, Customer Centric, and Guide with Care. These are not just principles; they shape how we make decisions, partner with customers, and show up for each other. The Role: All applicants must be currently authorized to work in the United States. No relocation allowance will be considered unless specifically addressed. Work Model: Hybrid, in-office 4 days per week Supervisory Responsibilities: Yes Reports to: Sr. Director, Data Services Summary: The Data Engineering Manager leads Odyssey’s enterprise data engineering strategy, platform development, and delivery of scalable data solutions that support operational visibility, automation, analytics, and AI-enabled decision-making. This role manages a team of data and analytics engineers while partnering closely with business, operations, product, and technology stakeholders to translate complex logistics challenges into trusted, actionable data products. The position is critical to maturing Odyssey’s modern data platform and advancing a more data-driven organization. What You’ll Do Lead the architecture and development of Odyssey’s enterprise data lake to improve logistics operations, real-time tracking, supply chain optimization, and customer-facing analytics. Partner with business, operations, and product stakeholders to identify high-impact data initiatives, prioritize delivery, and translate logistics use cases into scalable technical solutions. Own and evolve the modern data stack, including Databricks, Delta Lake, Sigma Computing, Snowflake, Airflow, and AWS. Oversee ELT/ETL pipelines integrating data from TMS, WMS, telematics, EDI feeds, and IoT sensors. Deliver trusted, reusable, high-quality data products that support self-service dashboards, operational reporting, and embedded analytics. Implement best practices for data observability, pipeline orchestration, CI/CD, performance optimization, scalability, and resilience. Champion data governance, lineage, and quality standards aligned with GDPR, SOX, customer SLAs, and internal standards. Manage sprint planning, agile execution, resource allocation, and team development. Collaborate with vendors and external partners on tool adoption, integrations, and roadmap alignment. Lead, coach, develop, and retain a high-performing global data engineering team. What You Bring Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. 5+ years of experience building and supporting data platforms, analytics, business intelligence, or data engineering solutions. 2+ years of leadership and management experience. Strong technical expertise in data architecture, data modeling, cloud platforms, and modern data engineering practices. Experience with Databricks, AWS, Snowflake, Airflow, Sigma Computing, or comparable tools and platforms. Proven ability to lead large-scale data initiatives that support business goals and improve decision-making. Strong collaboration and stakeholder management skills, with the ability to align technical solutions to business needs. Excellent leadership, problem-solving, communication, and prioritization skills. Logistics, transportation, or supply chain experience preferred Benefits: We offer a comprehensive and competitive compensation and benefits package, including: • A choice of medical plans with FSA and HSA options • Dental Insurance • Vision Insurance • Company-paid Life and Disability Insurance • 401(k) Plan with Company Match • Paid Time Off (PTO) and Company Holidays • Employee Assistance Program • Company Health & Wellness Program • Discounts with Preferred Vendors   At Odyssey, we believe the best ideas come from people with different skills, experiences, and perspectives. We welcome applicants from all backgrounds and evaluate every candidate based on the qualifications needed for the role, while also valuing the unique strengths, curiosity, and fresh thinking each person brings. Our commitment to inclusion helps fuel innovation and enables us to deliver smarter, more creative solutions for our customers. We are proud to be a workplace where everyone is treated with respect, given equal opportunity to succeed, and encouraged to contribute in meaningful ways. All employment decisions are based on merit, without regard to race or ethnicity, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status, or any other characteristic protected by federal, state, or local law.  Odyssey does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. Visit us at: www.OdysseyLogistics.com/careers

Requirements

Must-haves

The Role: All applicants must be currently authorized to work in the United States. No relocation allowance will be considered unless specifically addressed.
Work Model: Hybrid, in-office 4 days per week
Supervisory Responsibilities: Yes
Reports to: Sr. Director, Data Services
What You’ll Do
Lead the architecture and development of Odyssey’s enterprise data lake to improve logistics operations, real-time tracking, supply chain optimization, and customer-facing analytics.
Partner with business, operations, and product stakeholders to identify high-impact data initiatives, prioritize delivery, and translate logistics use cases into scalable technical solutions.
Own and evolve the modern data stack, including Databricks, Delta Lake, Sigma Computing, Snowflake, Airflow, and AWS.
Oversee ELT/ETL pipelines integrating data from TMS, WMS, telematics, EDI feeds, and IoT sensors.
Deliver trusted, reusable, high-quality data products that support self-service dashboards, operational reporting, and embedded analytics.
Implement best practices for data observability, pipeline orchestration, CI/CD, performance optimization, scalability, and resilience.
Champion data governance, lineage, and quality standards aligned with GDPR, SOX, customer SLAs, and internal standards.
Manage sprint planning, agile execution, resource allocation, and team development.
Collaborate with vendors and external partners on tool adoption, integrations, and roadmap alignment.
Lead, coach, develop, and retain a high-performing global data engineering team.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
5+ years of experience building and supporting data platforms, analytics, business intelligence, or data engineering solutions.
2+ years of leadership and management experience.
Strong technical expertise in data architecture, data modeling, cloud platforms, and modern data engineering practices.
Experience with Databricks, AWS, Snowflake, Airflow, Sigma Computing, or comparable tools and platforms.
Proven ability to lead large-scale data initiatives that support business goals and improve decision-making.
Strong collaboration and stakeholder management skills, with the ability to align technical solutions to business needs.
Excellent leadership, problem-solving, communication, and prioritization skills.

Nice-to-haves

Logistics, transportation, or supply chain experience preferred

Application prep

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Keywords to mirror

aiawsci/cdagile

Platform: dayforce
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Wellness