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Senior Data Engineer Lead

Reads like a Data Leadership role: running a data team.

Pay
$120,000–170,000/yearAnnual period assumed. Location-specific pay — pay source
Pay Range: $120,000-$170,000 The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient.
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Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Lead, mentor, and manage a team of 3–5 data engineers

  • Plan and execute migrations from SQL Server IaaS to managed PaaS services

  • Lead database administration: performance tuning, high availability, backup and recovery

  • Build and optimize ETL/ELT pipelines using SSIS, AWS Glue, and Python

  • Implement CI/CD pipelines for database and platform deployments

From the employer’s posting
Lead, mentor, and manage a team of 3–5 data engineers across platform and integration tracks
Plan and execute migration strategies from SQL Server (IaaS) to managed PaaS database services
Lead database administration activities including performance tuning, high availability, backup/recovery, and upgrades
Oversee design and development of scalable data pipelines and integration workflows
Implement and manage CI/CD pipelines for database and platform deployments (Python, Liquibase)

Tools in this posting

  • Python
  • SQL
  • AWS
  • PostgreSQL
  • Power BI
  • S3
  • SQL Server
  • SSRS
  • Tableau
  • Terraform
Source — Tool mentions in context
Responsibilities: 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.
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.

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20261 day ago
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$226K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,008 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 7 and day 55.

From 8,290 similar postings that came down. Coming down is not always a hire.

publicisgroupe is hiring

251 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 789, the most 1,207, and the latest week had 838.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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. Overview 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. Responsibilities: 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: $120,000-$170,000 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 hiring@publicis.sapient.com
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Pay
Pay Range: $120,000-$170,000 The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient.
Location & working pattern

Arlington, Virginia, US

Working pattern and location restrictions need checking in the full posting.

Work authorization

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