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.
Reads like a Data Leadership role: running a data team.
Arlington, Virginia, US
Actively hiring, first seen by us 1 day agoPay Range: $120,000-$170,000 The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient.Read the 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
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)
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.
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
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.
251 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordCheck the employer’s posting for the current role and application details.
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New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
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.
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.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Pay Range: $120,000-$170,000 The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient.
Arlington, Virginia, US
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting