Data Engineering Manager – Snowflake Pipelines & Local Delivery

NBCUniversal; Town of Florida (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Reporting to the Senior Director, Data Platform, you’ll build reliable data solutions, drive data governance, and mentor a team of engineers, analysts and vendors to deliver scalable, well‑documented platform capabilities.

Qualifications

• Experience designing, building, and supporting data engineering solutions in a commercial environment, ideally across streaming, media, broadcast, or subscription businesses.
• Strong hands‑on data engineering experience across ETL/ELT pipelines, SQL transformations, APIs, file‑based integrations, orchestration, automation, and production support.
• Strong SQL and Snowflake experience, including data modelling, performance tuning, access controls, troubleshooting, and practical optimisation of warehouse usage.
• Project coordination experience, including planning, dependency management and stakeholder status reporting.
• Python or equivalent programming experience, with the ability to build maintainable, observable, and reusable engineering components.
• Experience working with cloud services, preferably AWS, including data lake storage, serverless compute, orchestration, identity and access management, monitoring, and infrastructure automation.
• Good understanding of data governance, privacy, security, access control, data quality, lineage, and operational support practices for enterprise data platforms.

Responsibilities

• Hands‑on Data Engineering: Design, build, test, deploy, and support reliable data pipelines, data models, integrations, and reporting datasets across Snowflake and related cloud data platform services.
• Local Data Delivery: Support local business and product priorities by translating stakeholder requirements into practical, maintainable data engineering solutions.
• Snowflake & Data Platform Support: Develop and maintain Snowflake objects, SQL transformations, data models, secure access patterns, performance tuning, and cost-conscious platform usage.
• Integrations & Automation: Build and support integrations between the data platform and internal or third‑party systems, including analytics, CRM, marketing technology, partner platforms, finance systems, content systems, and operational tooling.
• Project Coordination: Coordinate project plans, priorities, dependencies and stakeholder updates for local and regional data initiatives.
• Stakeholder Management: Act as a local point of contact for product, analytics, finance, marketing, operations, commercial, content, and technology stakeholders, ensuring requirements, priorities, risks, and delivery status are clearly understood.
• Data Quality, Governance & Support: Monitor and improve data quality, pipeline reliability, documentation, access controls, privacy, security, lineage, and operational support processes.
• Team Collaboration: Work closely with data engineers, analysts, product owners, engineering teams, vendors, and enterprise technology partners to deliver well‑documented and maintainable solutions.
• Continuous Improvement: Identify opportunities to simplify processes, automate manual workflows, improve data quality, reduce operational effort, and unlock new datasets that support reporting, insight, activation, AI, and governance use cases.

Skills

Data engineering

SQL

Python

Cloud experience

ETL/ELT

Data governance

Project coordination

Tools

Snowflake

APIs

Orchestration tools

Job description

Reporting to the Senior Director, Data Platform, you’ll build reliable data solutions, drive data governance, and mentor a team of engineers, analysts and vendors to deliver scalable, well‑documented platform capabilities.