MetLife · 3 months ago
Principal Data Platform Engineer - Azure
MetLife is one of the world’s leading financial services companies, providing insurance, annuities, employee benefits, and asset management. They are seeking a skilled Principal Data Platform Engineer to design, build, and manage data, analytics, and MLOps platforms on Azure Cloud, ensuring platform reliability and optimizing costs.
Asset ManagementFinancial ServicesInsuranceLife InsuranceRisk Management
Responsibilities
Design and architect scalable, secure, and cost-effective data, analytics, and MLOps platforms on Azure
Define cloud architecture patterns and best practices for data workloads
Create technical specifications and solution designs for complex cloud infrastructure
Evaluate and recommend new technologies and tools to enhance platform capabilities
Implement Infrastructure as Code (IaC) using Azure Resource Manager (ARM), Bicep, or Terraform
Develop and maintain CI/CD pipelines for infrastructure deployment and application delivery
Automate provisioning and configuration management using tools like Azure DevOps, GitHub Actions, or Jenkins
Design and implement automated backup, disaster recovery, and high availability solutions
Deploy and manage Azure data services including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake
Implement data governance, security, and compliance frameworks
Monitor and optimize data pipeline performance and resource utilization
Ensure data quality, lineage, and metadata management across the platform
Build and maintain MLOps infrastructure using Azure Machine Learning, MLflow, or similar platforms
Implement model deployment, versioning, and monitoring solutions
Develop automated ML pipeline orchestration and model lifecycle management
Ensure reproducibility and scalability of machine learning workloads
Implement security best practices including identity and access management (IAM)
Configure network security, encryption, and data protection measures
Ensure compliance with regulatory requirements (GDPR, HIPAA, SOX, etc.)
Conduct security assessments and vulnerability management
Monitor and optimize cloud resource costs through rightsizing and automation
Implement cost allocation and chargeback mechanisms
Performance tuning of data processing and analytics workloads
Capacity planning and resource forecasting
Work closely with data engineers, data scientists, and analytics teams
Provide technical guidance and mentoring to junior team members
Participate in on-call rotation for platform support and incident response
Document processes, procedures, and system architecture
Qualification
Required
Bachelor's degree in Computer Science, Engineering, or related technical field, or 7+ equivalent professional experience will be considered
5+ years of experience with Microsoft Azure, including deep knowledge of Azure services (Azure SQL, Cosmos DB, Azure Data Factory, Synapse, Databricks, Data Lake, Machine Learning, etc.)
Proficiency in ARM templates, Bicep, Terraform, or similar tools
Experience with Docker, Azure Container Instances, and Azure Kubernetes Service (AKS)
DevOps Skills
Strong experience with Azure DevOps, GitHub Actions, Jenkins, or similar platforms
Automation of infrastructure, application deployments using Azure DevOps Pipeline / Github actions
Proficiency in Python, PowerShell, Bash, and/or other scripting languages
Experience with Azure Monitor, Log Analytics, Application Insights, or similar tools
Knowledge of data pipeline orchestration tools (Databricks, Azure Data Factory)
Excellent problem-solving and analytical skills
Strong communication and collaboration abilities
Ability to work in fast-paced, agile environments
Leadership and mentoring capabilities
Customer Service Orientation
Preferred
Microsoft Azure Solutions Architect Expert (AZ-305)
Microsoft Azure DevOps Engineer Expert (AZ-400)
Terraform Associate or Professional certification
Experience with multi-cloud environments (AWS, GCP)
Experience with MLOps frameworks and tools (MLflow, Azure ML, Kubeflow)
Understanding of machine learning lifecycle and model deployment strategies
GenAI exp. is preferred
Knowledge of data mesh and modern data architecture patterns
Experience with SQL, NoSQL databases, data warehousing, and big data technologies
Strong understanding of cloud security principles and best practices
Experience with Azure Active Directory, RBAC, and identity management
Knowledge of data privacy regulations and compliance requirements
Experience with security scanning and vulnerability assessment tools
Experience with streaming data technologies (Apache Kafka, Azure Event Hubs)
Background in financial services, healthcare, or other regulated industries
Experience with agile/scrum methodologies
Benefits
Comprehensive health plan that includes medical/prescription drug and vision
Dental insurance
No-cost short- and long-term disability
Company-paid life insurance
Legal services
Retirement pension funded entirely by MetLife
401(k) with employer matching
Group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance
Employee Assistance Program (EAP)
Digital mental health programs
Parental leave
Volunteer time off
Tuition assistance
Company
MetLife
MetLife is a provider of insurance, employee benefits, and financial services .
H1B Sponsorship
MetLife has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (164)
2024 (108)
2023 (113)
2022 (155)
2021 (75)
2020 (81)
Funding
Current Stage
Public CompanyTotal Funding
$500M2024-06-20Post Ipo Debt· $500M
2000-04-14IPO
Leadership Team
Recent News
Private Debt Investor
2026-01-07
2026-01-07
Insurance News in the United States
2025-12-13
Company data provided by crunchbase