Lead Azure Data Engineer

Role Value Proposition

Join Met Life’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, Mar Tech, and third-party data to enable repeatable campaign activation and performance measurement across channels.

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, Mar Tech/Marketing Ops, BI developers, and platform governance partners in an environment where every contribution is respected, and every perspective is heard.

• 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 Dev Ops/IaC for data workflows (CI/CD, source control, automated deployments, monitoring).
• Partner with Marketing Analytics, Mar Tech/Ops, and BI to prioritize backlog and deliver outcomes in Agile.

• 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 Dev Ops or Git Hub Actions).
• Knowledge of customer/audience data models and campaign life cycles (activation → measurement → optimization).

• Azure certifications (Solutions Architect / Data Engineer Associate).
• Terraform/YAML Infrastructure as Code for Azure deployments.
• Marketing/Mar Tech 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 Met Life, we’re leading the global transformation of an industry we’ve long defined. United in purpose, diverse in perspective, we’re 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.

Met Life maintains a drug-free workplace.