Lead Azure Data Engineer

MetLife • Cary, NC

5d • $115,000 - $158,000 • Hybrid

About The Position

Join MetLife's Marketing Data Engineering team, building and operating the Marketing Data Platform (MDP) on Azure and Databricks. We curate audience and measurement datasets, automate campaign-ready outputs, and integrate enterprise, MarTech, and third-party data to enable repeatable campaign activation and performance measurement across channels. The Opportunity: As a Lead Data Engineer, you will own core platform architecture, data pipelines, and automation that power segmentation, activation, and measurement. You will help standardize how campaigns are executed and measured—reducing ad-hoc work, improving data quality, and accelerating insight-to-action for Marketing. Success in this role requires strong Azure/Databricks engineering depth and the ability to translate marketing objectives into durable platform capabilities. The Lead Data Engineer is responsible for end-to-end delivery of the platform and pipelines that support both activation and measurement. You'll collaborate closely with the Data and Analytics team, MarTech/Marketing Ops, BI developers, and platform governance partners in an environment where every contribution is respected, and every perspective is heard

Requirements

• Bachelor's or master's degree in computer science, Engineering, Information Systems, or a related field experience.
• 5+ years in data engineering/architecture; 2+ years in Azure environments.
• Expertise in Azure Data Factory, Azure Databricks, Azure SQL, and/or Azure Synapse.
• Strong SQL and/or Python; performance tuning for pipelines and queries.
• Git and CI/CD (Azure DevOps or GitHub Actions).
• Knowledge of customer/audience data models and campaign lifecycles (activation → measurement → optimization).

Nice To Haves

• Azure certifications (Solutions Architect / Data Engineer Associate).
• Terraform/YAML Infrastructure as Code for Azure deployments.
• Marketing/MarTech integrations (Adobe, Salesforce, Marketo, CDPs) via APIs/REST.
• Third-party data onboarding and governance for marketing use cases.
• Streaming/real-time architectures (Event Hubs, Kafka, Stream Analytics).

Responsibilities

• Own Azure-based MDP architecture and operations (security, reliability, performance, cost).
• Build reusable ETL/ELT pipelines in ADF + Databricks/Delta for curated audience and measurement data products.
• Enable campaign activation by operationalizing segmentation logic and producing campaign-ready extracts for activation platforms.
• Deliver measurement datasets for performance, engagement, and attribution; support efficient refresh and reporting patterns.
• Implement governance: RBAC, encryption, auditing, lineage/metadata; ensure compliance with internal policies.
• Drive DevOps/IaC for data workflows (CI/CD, source control, automated deployments, monitoring).
• Partner with Marketing Analytics, MarTech/Ops, and BI to prioritize backlog and deliver outcomes in Agile.

Benefits

• Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families.
• We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability.
• We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, volunteer time off, tuition assistance and much more!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees