Principal Data Platform Engineer - Azure

MetLife • Tampa, FL • 15h ago

Role Value Proposition:

We are seeking a skilled Principal Data Platform Engineer with 5+ years of experience in designing, building, implementing, and managing data, analytics, and MLOps platform on Azure Cloud. Will be responsible for automating infrastructure, ensuring platform reliability, optimizing costs, and supporting data engineering, analytics, and machine learning workloads.

Key Responsibilities:

Platform Architecture & Design:

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

Infrastructure Automation & Management:

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

Data Platform Operations:

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

MLOps Platform Development:

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

Security & Compliance:

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

Cost Optimization & Performance:

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

Collaboration & Support:

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

Essential Business Experience and Technical Skills:

Required:

Bachelor's degree in Computer Science, Engineering, or related technical field, or 7+ equivalent professional experience will be considered

Cloud Platforms: 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.)

Infrastructure as Code: Proficiency in ARM templates, Bicep, Terraform, or similar tools

Containerization: Experience with Docker, Azure Container Instances, and Azure Kubernetes Service (AKS)

DevOps Skills

CI/CD: Strong experience with Azure DevOps, GitHub Actions, Jenkins, or similar platforms

Automation of infrastructure, application deployments using Azure DevOps Pipeline / Github actions.

Programming: Proficiency in Python, PowerShell, Bash, and/or other scripting languages

Monitoring & Logging: Experience with Azure Monitor, Log Analytics, Application Insights, or similar tools

Data Engineering: Knowledge of data pipeline orchestration tools (Databricks, Azure Data Factory)

Soft Skills

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:

Certifications

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)

MLOps

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

Data Technologies: Experience with SQL, NoSQL databases, data warehousing, and big data technologies

Security & Compliance: 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

At MetLife, 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 accommodations@metlife.com. 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.

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