Manager, Data Engineering

Publicis Sapient; Houston (TX); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Inclusive workplace

Learning & development

Competitive compensation

Work-life balance

Health benefits

Paid leave

Wellness program

Job summary

Publicis Sapient in Houston, TX is seeking a Manager, Data Engineering to design and build the data foundation powering analytics, reporting, and AI capabilities. You will work across Trading, Finance, Operations, and Technology to deliver scalable solutions that connect complex business systems and improve data accessibility.

The role requires 8+ years in data engineering, experience with cloud data platforms and large-scale data environments, and strong communication with stakeholders.

Qualifications

• Bachelor's degree in computer science, information systems, engineering, or related technical field.
• 8+ years of experience in Data Engineering, Data Integration, Data Platform Development, or related roles.
• Proven experience designing and delivering enterprise-scale data engineering solutions and cloud-based data platforms.
• Strong experience building scalable data pipelines and data integration frameworks.
• Experience working with large-scale enterprise data environments and complex business systems.
• Strong understanding of data modeling, data architecture, and modern data engineering practices.
• Excellent communication, collaboration, and stakeholder management skills.

Responsibilities

• Design and build scalable data foundations for analytics and reporting.
• Collaborate with cross-functional teams across Trading, Finance, Operations, and Technology.
• Deliver cloud-based data pipelines and data integration frameworks.
• Enable accessible data for enterprise analytics and AI initiatives.

Skills

Data engineering

Data integration

Cloud platforms

Data modeling

Stakeholder mgmt

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Azure Data Factory

Azure Synapse Analytics

Snowflake

Apache Spark

Delta Lake

Job description

Job Description

As a Manager, Data Engineering, you will play a central role in designing and building the data foundation that powers enterprise analytics, operational reporting, and future AI-driven capabilities. Working across Trading, Finance, Operations, and Technology teams, you ll help deliver scalable solutions that connect complex business systems, improve data accessibility, and drive better business outcomes.

Job Description

As a Manager, Data Engineering, you will play a central role in designing and building the data foundation that powers enterprise analytics, operational reporting, and future AI-driven capabilities. Working across Trading, Finance, Operations, and Technology teams, you ll help deliver scalable solutions that connect complex business systems, improve data accessibility, and drive better business outcomes.

This is an opportunity to work on large-scale data engineering challenges, modern cloud technologies, and high-value business initiatives while helping shape the future of the organization s data platform.

Qualifications

• Bachelor s degree in Computer Science, Information Systems, Engineering, or a related technical field.
• 8+ years of experience in Data Engineering, Data Integration, Data Platform Development, or related technical roles.
• Proven experience designing and delivering enterprise-scale data engineering solutions and cloud-based data platforms.
• Strong experience building scalable data pipelines and data integration frameworks.
• Experience working with large-scale enterprise data environments and complex business systems.
• Strong understanding of data modeling, data architecture, and modern data engineering practices.
• Excellent communication, collaboration, and stakeholder management skills.

Preferred Qualifications

• Experience in Energy, Utilities, Oil & Gas, Commodity Trading, Financial Services, or other highly data-intensive industries.
• Hands-on experience with:
  • Databricks
  • Azure Data Factory
  • Azure Synapse Analytics
  • Snowflake
  • Apache Spark
  • Delta Lake
• Experience supporting Data Product, Data Mesh, or modern data platform initiatives.
• Experience with CI/CD pipelines, DevOps practices, Infrastructure as Code (IaC), and automated deployment frameworks.
• Experience integrating large-scale trading, market, operational, and financial systems.
• Experience working within Agile delivery organizations and cross-functional engineering teams.

Additional Information

Level: Manager

Compensation Range: Depending on Experience - $140,000 - $180,000

Benefits Of Working Here

• An inclusive workplace that promotes diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.

The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work itself.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [e-mail]

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.