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Senior Manager, Data Engineering

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

Pay
$180,000–210,000/year — pay source
Compensation The salary range for this role is $180,000 – $210,000 annually. Compensation is determined during our interview process by assessing a candidate's experience and skills relative to internal peers and market benchmarks evaluated for the scope and responsibilities of the position, and collective bargaining agreement terms. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York Salary Transparency Law. To all Recruitment Agencies: OUTFRONT Media LLC does not accept agency and unsolicited resumes. Please do not forward resumes to our OUTFRONT Media employees or any other company location.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Hire, coach and develop data engineers, with a focus on early-career talent

  • Define and enforce engineering standards for pipelines, testing, CI/CD and code review

  • Design and build scalable pipelines, models and warehouse structures on AWS and Snowflake

  • Own the backend data foundation behind dashboards, reporting and self-service analytics

  • Build guardrailed AI-enabled data solutions on Bedrock and Snowflake Cortex

From the employer’s posting
Hire, onboard, coach and develop Data Engineers, with a focus on early-career talent
Define and enforce engineering standards for pipelines, data modeling, testing, CI/CD, observability and code review
Design and build scalable pipelines, models and warehouse structures with AWS, Snowflake, dbt and Fivetran
Own the backend data foundation behind dashboards, reporting, self-service analytics in Sigma Computing, and data science
Ship AI-enabled data solutions: Build on AWS Amazon Bedrock and Snowflake Cortex

What you’ll bring

All qualifications

Core experience

  • 8+ years designing and implementing modern data warehouse and data engineering solutions, with advanced SQL, Python and robust ETL/ELT pipelines
  • Data modeling, semantic layer design, data governance, quality, security and privacy
  • 3+ years leading or managing data engineers while staying hands-on in architecture and code
  • Familiarity with BI and self-service platforms, ideally Sigma Computing (Tableau and/or Power BI a plus), enough to guide data models and semantic layers that support reporting

Preferred experience

  • Bachelor of Engineering in Computer Science or equivalent experience preferred.
Qualification wording
8+ years designing and implementing modern data warehouse and data engineering solutions, with advanced SQL, Python and robust ETL/ELT pipelines
Data modeling, semantic layer design, data governance, quality, security and privacy
3+ years leading or managing data engineers while staying hands-on in architecture and code
Familiarity with BI and self-service platforms, ideally Sigma Computing (Tableau and/or Power BI a plus), enough to guide data models and semantic layers that support reporting
Bachelor of Engineering in Computer Science or equivalent experience preferred.
Education & alternatives
Education Bachelor of Engineering in Computer Science or equivalent experience preferred. Compensation

About Outfront Media

The best ideas in advertising don't only live on a screen.

In the employer’s words · Read in context

Apply at Outfront Media

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 7, 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

In line with similar jobs

$180K–$210K against $154K–$226K, the middle half of what similar US postings state.

From 3,013 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 8,348 similar postings that came down. Coming down is not always a hire.

Outfront Media is hiring

2 open jobs

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

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • dbt
  • Fivetran
  • Power BI
  • Sigma
  • Snowflake
  • Tableau
Where the posting names them
What You Bring - 8+ years designing and implementing modern data warehouse and data engineering solutions, with advanced SQL, Python and robust ETL/ELT pipelines - 3+ years leading or managing data engineers while staying hands-on in architecture and code
The best ideas in advertising don't only live on a screen. They live on the street, in the subway, along the freeway and in the moments people actually notice. At OUTFRONT Media, we call that "In Real Life" (IRL) media, and we're looking for a leader to bring it to the most entrepreneurial corner of the agency world. We're hiring a Senior Manager, Data Engineering to lead and grow our Data Engineering team within Data & Analytics. This is a true player-coach role. You'll develop a team of engineers, including early-career talent, and still get your hands dirty in architecture, code and technical reviews. You'll also set the pace for AI-assisted engineering across the team, using tools like Claude Code, Kiro, AWS Amazon Bedrock and Snowflake Cortex AI. If you want to build a strong team and a modern, AI-powered data platform at the same time, this role is for you.
- Run strong Agile delivery: Lead sprint planning, refinement, estimation and retros in Jira, Confluence and the Atlassian ecosystem. Use delivery metrics to improve predictability and give stakeholders clear visibility. - Stay hands-on: Design and build scalable pipelines, models and warehouse structures with AWS, Snowflake, dbt and Fivetran, and take on the hardest technical problems yourself. - Power the business: Own the backend data foundation behind dashboards, reporting, self-service analytics in Sigma Computing, and data science, and optimize it for speed, reliability, cost and maintainability.
- Lead the AI shift in engineering: Build practical workflows and guardrails for Claude Code and Kiro, coach engineers, and measure the impact on productivity and quality. - Ship AI-enabled data solutions: Build on AWS Amazon Bedrock and Snowflake Cortex (AI functions, Cortex Analyst, Cortex Search, Cortex Code) with strong guardrails for privacy, security, access, cost and human review. - Partner across the business: Work with analysts, product owners and stakeholders to define KPIs and turn them into scalable data products.
- Partner across the business: Work with analysts, product owners and stakeholders to define KPIs and turn them into scalable data products. - Keep it reliable: Drive data quality, documentation, monitoring, incident response and cost management across Snowflake and AWS. What You Bring
- 3+ years leading or managing data engineers while staying hands-on in architecture and code - ·Strong hands-on experience with AWS, Snowflake, dbt and Fivetran, including data modeling in Snowflake and transformation workflows in dbt - A track record of running Agile delivery and applying product management practices (roadmaps, prioritization, outcome-based planning) to data work
- Demonstrated, hands-on fluency with AI-assisted coding tools such as Claude Code and Kiro, with real examples of delivering faster without sacrificing quality or security - Working experience with AWS Amazon Bedrock and Snowflake Cortex (including Cortex Code) to build or enable generative AI solutions - Familiarity with BI and self-service platforms, ideally Sigma Computing (Tableau and/or Power BI a plus), enough to guide data models and semantic layers that support reporting
- Agentic and AI-assisted development: prompt and context design, spec-driven development, and review practices that keep AI-generated code secure and maintainable - Generative AI on AWS and Snowflake: Bedrock (foundation models, knowledge bases, agents, guardrails) and Cortex (AI functions, Analyst, Search, Cortex Code) - Data modeling, semantic layer design, data governance, quality, security and privacy
- Working experience with AWS Amazon Bedrock and Snowflake Cortex (including Cortex Code) to build or enable generative AI solutions - Familiarity with BI and self-service platforms, ideally Sigma Computing (Tableau and/or Power BI a plus), enough to guide data models and semantic layers that support reporting Technical Expertise
- Stay hands-on: Design and build scalable pipelines, models and warehouse structures with AWS, Snowflake, dbt and Fivetran, and take on the hardest technical problems yourself. - Power the business: Own the backend data foundation behind dashboards, reporting, self-service analytics in Sigma Computing, and data science, and optimize it for speed, reliability, cost and maintainability. - Lead the AI shift in engineering: Build practical workflows and guardrails for Claude Code and Kiro, coach engineers, and measure the impact on productivity and quality.

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About Outfront Media

People
About 1,986 in 2025, down 8% from the year before.Annual report (SEC Form 10-K)
Company
Listed as OUT.

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 1,205, and the latest week had 836.
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 ↗

ABOUT OUTFRONT MEDIA

The best ideas in advertising don't only live on a screen. They live on the street, in the subway, along the freeway and in the moments people actually notice. At OUTFRONT Media, we call that "In Real Life" (IRL) media, and we're looking for a leader to bring it to the most entrepreneurial corner of the agency world.


We're hiring a Senior Manager, Data Engineering to lead and grow our Data Engineering team within Data & Analytics. This is a true player-coach role. You'll develop a team of engineers, including early-career talent, and still get your hands dirty in architecture, code and technical reviews. You'll also set the pace for AI-assisted engineering across the team, using tools like Claude Code, Kiro, AWS Amazon Bedrock and Snowflake Cortex AI.


If you want to build a strong team and a modern, AI-powered data platform at the same time, this role is for you.


What You'll Do

  • Build and grow the team: Hire, onboard, coach and develop Data Engineers, with a focus on early-career talent. You'll also own performance management and career growth.
  • Set the bar: Define and enforce engineering standards for pipelines, data modeling, testing, CI/CD, observability and code review.
  • Treat data as a product: Own the backlog and delivery plan, and prioritize with business and analytics partners around clear users and outcomes.
  • Run strong Agile delivery: Lead sprint planning, refinement, estimation and retros in Jira, Confluence and the Atlassian ecosystem. Use delivery metrics to improve predictability and give stakeholders clear visibility.
  • Stay hands-on: Design and build scalable pipelines, models and warehouse structures with AWS, Snowflake, dbt and Fivetran, and take on the hardest technical problems yourself.
  • Power the business: Own the backend data foundation behind dashboards, reporting, self-service analytics in Sigma Computing, and data science, and optimize it for speed, reliability, cost and maintainability.
  • Lead the AI shift in engineering: Build practical workflows and guardrails for Claude Code and Kiro, coach engineers, and measure the impact on productivity and quality.
  • Ship AI-enabled data solutions: Build on AWS Amazon Bedrock and Snowflake Cortex (AI functions, Cortex Analyst, Cortex Search, Cortex Code) with strong guardrails for privacy, security, access, cost and human review.
  • Partner across the business: Work with analysts, product owners and stakeholders to define KPIs and turn them into scalable data products.
  • Keep it reliable: Drive data quality, documentation, monitoring, incident response and cost management across Snowflake and AWS.

What You Bring

  • 8+ years designing and implementing modern data warehouse and data engineering solutions, with advanced SQL, Python and robust ETL/ELT pipelines
  • 3+ years leading or managing data engineers while staying hands-on in architecture and code
  • ·Strong hands-on experience with AWS, Snowflake, dbt and Fivetran, including data modeling in Snowflake and transformation workflows in dbt
  • A track record of running Agile delivery and applying product management practices (roadmaps, prioritization, outcome-based planning) to data work
  • Expert-level knowledge of Jira, Confluence and the Atlassian suite, including boards, workflows, dashboards and automation
  • Demonstrated, hands-on fluency with AI-assisted coding tools such as Claude Code and Kiro, with real examples of delivering faster without sacrificing quality or security
  • Working experience with AWS Amazon Bedrock and Snowflake Cortex (including Cortex Code) to build or enable generative AI solutions
  • Familiarity with BI and self-service platforms, ideally Sigma Computing (Tableau and/or Power BI a plus), enough to guide data models and semantic layers that support reporting

Technical Expertise

  • Modern data and analytics engineering: CI/CD, testing, orchestration, infrastructure as code and observability
  • Agentic and AI-assisted development: prompt and context design, spec-driven development, and review practices that keep AI-generated code secure and maintainable
  • Generative AI on AWS and Snowflake: Bedrock (foundation models, knowledge bases, agents, guardrails) and Cortex (AI functions, Analyst, Search, Cortex Code)
  • Data modeling, semantic layer design, data governance, quality, security and privacy
  • Ad tech knowledge: identity management, data privacy, audience targeting, cross-device graphs, ad serving, analytics, DSP, DMP, SSP, QA and targeting

How You Lead

  • You develop and keep strong engineering talent, coach early-career engineers, and give clear, candid feedback.
  • You align technical and business stakeholders on priorities and trade-offs.
  • You can explain complex concepts to non-technical audiences.
  • You have a product mindset, business sense, and the judgment to separate AI hype from real value.

Education

Bachelor of Engineering in Computer Science or equivalent experience preferred.


Compensation

The salary range for this role is $180,000 – $210,000 annually. Compensation is determined during our interview process by assessing a candidate's experience and skills relative to internal peers and market benchmarks evaluated for the scope and responsibilities of the position, and collective bargaining agreement terms. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York Salary Transparency Law.

To all Recruitment Agencies: OUTFRONT Media LLC does not accept agency and unsolicited resumes. Please do not forward resumes to our OUTFRONT Media employees or any other company location.

OUTFRONT Media is not responsible for any fees related to unsolicited resumes.

OUTFRONT Media Is An Equal Opportunity Employer


All applicants shall receive equal consideration without regard to race, color, religion, gender, marital status, gender identity or expression, sexual orientation, national origin, age, veteran status or disability.

Source details

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Pay
Compensation The salary range for this role is $180,000 – $210,000 annually. Compensation is determined during our interview process by assessing a candidate's experience and skills relative to internal peers and market benchmarks evaluated for the scope and responsibilities of the position, and collective bargaining agreement terms. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York Salary Transparency Law. To all Recruitment Agencies: OUTFRONT Media LLC does not accept agency and unsolicited resumes. Please do not forward resumes to our OUTFRONT Media employees or any other company location.
Location & working pattern

New York, NY

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

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