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Data Engineering Manager
NBCUniversal
Miami, USA
Full-time
Mid
Hybrid
Discovered 1 weeks ago
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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.
Basic Qualifications
- Experience designing, building, and supporting data engineering solutions in a commercial environment, ideally across streaming, media, broadcast, or subscription businesses.
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