MetLife
Lead Azure Data Engineer
MetLife’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, 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 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.
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
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 DevOps or GitHub Actions).
Knowledge of customer/audience data models and campaign lifecycles (activation → measurement → 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).
Location & Salary 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 Offer Our 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.
About MetLife Recognized by Fortune as one of the world’s leading financial services companies, MetLife 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 Employer MetLife 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 accommodations@metlife.com. This information will be held in confidence.
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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 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.
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
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 DevOps or GitHub Actions).
Knowledge of customer/audience data models and campaign lifecycles (activation → measurement → 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).
Location & Salary 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 Offer Our 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.
About MetLife Recognized by Fortune as one of the world’s leading financial services companies, MetLife 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 Employer MetLife 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 accommodations@metlife.com. This information will be held in confidence.
#J-18808-Ljbffr