Manager, Data Engineering - Hybrid Schedule
Charlotte, NC, USA
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingOwn 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.
From the employer’s posting
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
What you’ll bring
All qualificationsCore experience
- 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.
- 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.
- Excellent leadership, problem-solving, communication, and prioritization skills.
Qualification wording
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
Tools in this posting
- AWS
- Databricks
- Delta
- Sigma
- Snowflake
- Airflow
Source — Tool mentions in context
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
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:
About Odyssey
Odyssey Logistics is a global logistics and supply chain partner helping businesses optimize performance through fully integrated, end-to-end solutions.
In the employer’s words · Read in context
Job description
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jobs.dayforcehcm.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Charlotte, NC, USA
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
- Work authorization
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
More relevant text appears in the full description.
- Status in our records
- Active
- First seen by us
- Jun 3, 2026
- Recorded sightings
- 103
- Last seen by us
- Oct 8, 2026
- Employer says posted
- May 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.