Data Engineering Manager — Scalable Platforms & Teams

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

Benefits offered by this job

Inclusive workplace

Learning & development opportunities

Competitive compensation package

Work-life balance support

Health benefits for you and family

Paid leave and holidays

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 initiatives across Trading, Finance, Operations, and Technology teams.

You will lead scalable data pipelines, collaborate with cross-functional partners, and guide cloud-based data platform projects, delivering impactful business outcomes while shaping the future of the data platform.

Qualifications

• Bachelor's degree in a related technical field.
• 8+ years of data engineering and related roles.
• Proven experience delivering enterprise-scale data platforms.
• Strong experience building scalable data pipelines and data integration frameworks.
• Experience with large-scale enterprise data environments and complex business systems.
• Strong data modeling and architecture expertise.
• Excellent communication and stakeholder management skills.

Responsibilities

• Design and build the data foundation powering analytics, operational reporting, and AI capabilities.
• Collaborate across Trading, Finance, Operations and Technology teams to deliver scalable data solutions.
• Lead data engineering projects and drive cloud-based data platform initiatives.
• Ensure data quality, governance, and accessibility across the organization.

Skills

Data engineering leadership

Enterprise data platforms

Cloud data pipelines

Stakeholder management

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Databricks

Azure Data Factory

Azure Synapse Analytics

Snowflake

Apache Spark

Delta Lake

Job description

Publicis Sapient in Houston, TX is seeking a Manager, Data Engineering to design and build the data foundation powering analytics, reporting, and AI initiatives across Trading, Finance, Operations, and Technology teams.

You will lead scalable data pipelines, collaborate with cross-functional partners, and guide cloud-based data platform projects, delivering impactful business outcomes while shaping the future of the data platform.