Senior Manager, Data Engineering

Outfront Media•New York, NY

About The Position

OUTFRONT Media is hiring a Senior Manager, Data Engineering to lead and grow its Data Engineering team within Data & Analytics. This is a player-coach role combining team development and performance management with hands-on work in architecture, code, technical reviews, and solving complex engineering problems. The role will set engineering standards, own the data product backlog and delivery plan, and lead Agile delivery in Jira, Confluence, and the Atlassian ecosystem. The Senior Manager will build and maintain scalable data pipelines, models, and warehouse structures using AWS, Snowflake, dbt, and Fivetran. The role owns the backend data foundation for dashboards, reporting, self-service analytics, and data science, with attention to reliability, speed, cost, and maintainability. It will also lead practical adoption of AI-assisted engineering tools and develop AI-enabled data solutions using AWS Amazon Bedrock and Snowflake Cortex, with safeguards for privacy, security, access, cost, and human review. The role partners with analysts, product owners, and business stakeholders to define KPIs and deliver scalable data products. It drives data quality, documentation, monitoring, incident response, and cost management across Snowflake and AWS. The position also requires developing engineering talent, aligning technical and business stakeholders, and communicating complex concepts to non-technical audiences.

Requirements

8+ years designing and implementing modern data warehouse and data engineering solutions.
Advanced SQL and Python skills and experience building robust ETL/ELT pipelines.
3+ years leading or managing data engineers while remaining hands-on in architecture and code.
Strong hands-on experience with AWS, Snowflake, dbt, and Fivetran, including Snowflake data modeling and dbt transformation workflows.
Track record of running Agile delivery and applying product management practices, including roadmaps, prioritization, and 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 examples of improving delivery speed without compromising 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 sufficient to guide data models and semantic layers that support reporting.
Knowledge of CI/CD, testing, orchestration, infrastructure as code, and observability.
Knowledge of prompt and context design, spec-driven development, and review practices for secure and maintainable AI-generated code.
Knowledge of Bedrock foundation models, knowledge bases, agents, and guardrails, and Snowflake Cortex AI functions, Analyst, Search, and Cortex Code.
Knowledge of data modeling, semantic layer design, data governance, quality, security, and privacy.
Ability to develop and retain engineering talent, coach early-career engineers, and provide clear, candid feedback.
Ability to align technical and business stakeholders on priorities and trade-offs and explain complex concepts to non-technical audiences.
Product mindset, business sense, and judgment in evaluating AI use cases.

Nice To Haves

Bachelor of Engineering in Computer Science or equivalent experience.
Experience with Sigma Computing.
Experience with Tableau and/or Power BI.
Ad tech knowledge, including identity management, data privacy, audience targeting, cross-device graphs, ad serving, analytics, DSP, DMP, SSP, QA, and targeting.

Responsibilities

Hire, onboard, coach, and develop Data Engineers, particularly early-career talent; manage performance and career growth.
Define and enforce engineering standards for pipelines, data modeling, testing, CI/CD, observability, and code review.
Own the data backlog and delivery plan, prioritizing work with business and analytics partners around users and outcomes.
Lead Agile delivery, including sprint planning, refinement, estimation, and retrospectives in Jira, Confluence, and the Atlassian ecosystem; use delivery metrics to improve predictability and stakeholder visibility.
Design and build scalable pipelines, models, and warehouse structures using AWS, Snowflake, dbt, and Fivetran, and take on difficult technical problems hands-on.
Own the backend data foundation for dashboards, reporting, self-service analytics, and data science, optimizing for speed, reliability, cost, and maintainability.
Develop practical workflows and guardrails for Claude Code and Kiro, coach engineers, and measure productivity and quality impacts.
Build AI-enabled data solutions using AWS Amazon Bedrock and Snowflake Cortex, including AI functions, Cortex Analyst, Cortex Search, and Cortex Code, with appropriate privacy, security, access, cost, and human-review safeguards.
Partner with analysts, product owners, and stakeholders to define KPIs and deliver scalable data products.
Drive data quality, documentation, monitoring, incident response, and cost management across Snowflake and AWS.
Develop engineering talent, give clear and candid feedback, and align technical and business stakeholders on priorities and trade-offs.
Explain complex technical concepts to non-technical audiences and apply product judgment to distinguish useful AI applications from hype.