Lead Azure Data Engineer

Role Value Proposition: Join MetLifeu2019s 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 measuredu2014reducing 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. Youu2019ll 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 Key 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. Essential Business Experience and Technical Skills: Required: Bacheloru2019s or masteru2019s 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 u2192 measurement u2192 optimization). Preferred: 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). At MetLife, weu2019re leading the global transformation of an industry weu2019ve long defined. United in purpose, diverse in perspective, weu2019re dedicated to making a difference in the lives of our customers.Equal Employment Opportunity/Disability/Veterans If you need an accommodation due to a disability, please email us at . This information will be held in confidence and used only to determine an appropriate accommodation for the application process. MetLife maintains a drug-free workplace.

Created: 2026-01-08