Lead Azure Data Engineer
Listed on 2026-01-12
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IT/Tech
Data Engineer, Data Security
Lead Azure Data Engineer
Met Life’s Marketing Data Engineering team is 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.
The OpportunityAs 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 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.
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 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.
- 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).
Hybrid role requiring a minimum of 3 days per week in office. Salary range: $115,000 – $158,000, with potential annual short‑term incentive compensation.
Benefits We OfferOur U.S. benefits address holistic well‑being with programs for physical and mental health, financial wellness, and family support. We offer a comprehensive health plan including medical/prescription drug, vision, and dental insurance, no‑cost short‑ and long‑term disability, company‑paid life insurance, legal services, a retirement pension, 401(k) with employer matching, group discounts on voluntary insurance, critical illness, hospital indemnity, accident insurance, EAP, digital mental health programs, parental leave, volunteer time off, tuition assistance, and more.
AboutMet Life
Recognized by Fortune as one of the world’s leading financial services companies, Met Life operates in over 40 markets and offers insurance, annuities, employee benefits, and asset management. We aim to help customers, communities, and the world create a more confident future guided by our core values.
Equal Opportunity EmployerMet Life is an Equal Opportunity Employer. All employment decisions are made without regard to protected characteristics. If you need an accommodation due to a disability, please email us at This information will be held in confidence.
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