Lead Software / Platform Engineer I

Description and Requirements
Azure Platform Architecture & Administration
• Design and manage a secure, scalable Azure-based data platform to support marketing and customer analytics.
• Administer and optimize Azure services including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, and Key Vault.
• Implement robust monitoring, alerting, and cost optimization for the Azure data environment.
• Ensure platform availability, data pipeline reliability, and high performance for downstream consumption.
• Establish and manage Azure Data Lake Storage (ADLS) structures, security models, and performance optimization strategies.
• Monitor platform health, performance, and cost usage; implement automation to improve efficiency and reliability
Data Engineering & ETL/ELT Pipelines
• Architect and implement ETL/ELT pipelines using Databricks (PySpark, SQL, Delta Lake) and Azure Data Factory.
• Optimize data ingestion, transformation, and storage for big data workloads and real-time streaming.
• Work with stakeholders to design data models, schemas, and APIs supporting analytics and operational needs.
• Ensure data quality, lineage, and governance through integration with tools such as Purview or equivalent.
• Build robust data transformations and aggregations to support marketing dashboards and customer 360 views.
• Optimize Python jobs, SQL queries, and data flows for performance and scalability.
Integration with Marketing Platforms
• Integrate marketing data from platforms such as Salesforce, Adobe Experience Platform, Adobe Analytics, Facebook Ads, HubSpot, and CRM systems.
• Work with MarTech and Marketing Ops teams to ensure clean, timely data feeds for campaigns.
• Build APIs, REST connectors, or use tools such as Azure Logic Apps, Azure Functions, and API Management.
Power BI Support and Semantic Layer Design
• Provide data models and optimized datasets to support Power BI dashboards for marketing.
• Collaborate with BI developers on semantic models using Synapse SQL Serverless or Power BI Datasets.
• Ensure data freshness and efficient refresh cycles for marketing reports.
Data Governance, Security & Compliance
• Implement data access controls, encryption, and auditing using Azure RBAC, Purview, and Private Endpoints.
• Ensure compliance with GDPR, CCPA, and internal policies.
• Define and manage metadata, data dictionaries, and quality processes.
Agile Project Delivery & Stakeholder Engagement
• Work in Agile teams providing estimates and delivery timelines for marketing use cases.
• Collaborate with marketing analytics, Martech, and Marketing data platform teams to prioritize backlog items.
• Translate marketing needs into platform capabilities and deliverables.
DevOps & Infrastructure as Code (IaC)
• Establish DevOps practices for CI/CD pipeline development, deployment, and testing for data workflows using Azure DevOps or GitHub Actions.
• Manage source control, release management, and environment configuration for data engineering components (ADF, Databricks, Synapse).
• Automate deployment of data pipelines and related resources with rollback strategies and deployment validations.
• Set up monitoring and alerting for CI/CD pipelines and infrastructure health using tools like Azure Monitor, Log Analytics, or Application Insights.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid