Senior Data Engineer Lead

Manager Data Engineering

We are seeking a Manager-Level Data Architect to lead and support a team of data engineers while driving the evolution of our enterprise data platform. This role combines deep technical expertise in SQL Server database administration with modern data engineering practices, and plays a key role in our transition from self-managed IaaS-based database platforms to fully managed PaaS solutions.

The ideal candidate brings strong hands-on DBA experience, proven leadership of small engineering teams, and a track record of planning and executing database migrations to cloud-managed services. This individual will partner closely with Program Management (PM) to ensure effective planning, execution, and delivery of data platform initiatives.

Leadership & Delivery

Lead, mentor, and manage a team of 3–5 data engineers across platform and integration tracks

Collaborate with Program Managers to plan, prioritize, and execute data initiatives

Drive accountability for project delivery, operational excellence, and continuous improvement

Provide technical guidance and architectural oversight across all data-related workstreams

Data Platform Engineering

Oversee setup, configuration, and maintenance of data platforms and environments

SQL Server clusters (IaaS, self-managed)

Aurora PostgreSQL and other cloud-native databases

BI platforms (SSRS, Tableau, PowerBI)

Lead database administration activities including performance tuning, high availability, backup/recovery, and upgrades

Define and implement access control, governance, and security best practices

Drive DataOps practices including monitoring, reliability, and performance optimization

Implement and manage CI/CD pipelines for database and platform deployments (Python, Liquibase)

Lead security remediation efforts and compliance initiatives

Data Integration Engineering

Oversee design and development of scalable data pipelines and integration workflows

Guide implementation of ETL/ELT processes using SSIS, AWS Glue, and Python

Support development and optimization of data marts and analytical data models

Ensure strong DataOps practices including data quality, observability, and freshness monitoring

Lead and support data migration efforts, particularly SQL Server to PaaS transitions

Optimize performance and scalability of data pipelines and integration processes

Cloud Migration & Modernization

Plan and execute migration strategies from SQL Server (IaaS) to managed PaaS database services

Evaluate target architectures and recommend best-fit cloud-native solutions

Ensure minimal disruption and high data integrity during migration processes

Requirements

10+ years of experience in data architecture, database administration, or data engineering roles

Strong hands-on experience as a SQL Server DBA (current or prior role), including performance tuning, HA/DR, and operational support

Proven experience leading small engineering teams (5–7 members)

Experience designing and managing self-hosted database environments (IaaS)

Demonstrated experience planning and executing database migrations to PaaS/cloud-managed services

Strong understanding of DataOps practices, including monitoring, reliability, and performance management

Experience building and maintaining data pipelines and ETL/ELT processes (SSIS, Glue, Python)

Experience with CI/CD tools and practices for data platforms (e.g., Liquibase, Python-based automation)

Familiarity with BI tools such as SSRS and Tableau

Strong collaboration skills and experience working closely with Program/Product Management

Solid understanding of data security, governance, and access control

Preferred Qualifications

Experience with AWS data services (e.g., Aurora PostgreSQL, Glue, S3, RDS) or equivalent cloud platforms

Experience with PostgreSQL or other open-source databases

Familiarity with stream processing technologies (e.g., Apache Flink)

Knowledge of infrastructure-as-code and automation tools (e.g., Terraform, CloudFormation)

Experience implementing enterprise-grade data observability and data quality frameworks

Background in supporting large-scale, highly available production data systems

Strong communication skills with the ability to translate technical concepts for non-technical stakeholders

Additional Information

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.

Pay Range: $140,000-$190,000

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.

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

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. #J-18808-Ljbffr