MetLife · 1 day ago
Lead Azure Data Engineer & Architect
Cary, NC
Full-time
Hybrid
Senior Level, Lead/Staff
$120K/yr - $158K/yr
8+ years expMetLife is a leading financial services company focused on providing insurance, annuities, and asset management. They are seeking a Lead Azure Data Engineer & Architect to design and implement scalable data solutions, ensuring data-driven decision-making and operational excellence within the organization.
Asset ManagementFinancial ServicesInsuranceLife InsuranceRisk Management
Responsibilities
Design and solution end-to-end data architecture for data hubs/data products and data all the way from source systems to consumption via web applications and reporting & analytics solutions
Ingest huge volumes of data from various platforms for Analytics needs and write high-performance, reliable, and maintainable ELT code
Collect, store, process, and analyze large datasets to build and implement extract, transfer, load (ETL) processes
Develop reusable frameworks to reduce the development effort involved, thereby ensuring cost savings for the projects
Develop quality code with thought-through performance optimizations in place right at the development stage
Appetite to learn new technologies and be ready to work on new cutting-edge cloud technologies
Work with teams spread across the globe in driving the delivery of projects and recommend development and performance improvements
Extensive experience with various database types and knowledge to leverage the right one for the need
Strong understanding of data tools and ability to leverage them to understand the data and generate insights
Hands-on experience in building/designing at-scale Data Lake, Data warehouses, data stores for analytics consumption on-prem and Cloud (real-time as well as batch use cases)
Utilize Cloud technologies (preferably Azure) to enable PaaS-centric enterprise solutions
Implement solutions that support dynamic scaling, including throttling and bursting for high-volume data workloads
Establish and evangelize modern software development practices, including CI/CD, automated testing, and code quality standards
Develop and support an API catalog for data services, ensuring standardization and security
Optimize reusable frameworks, Spark jobs for performance and cost efficiency in large-scale environments
Ability to interact with business analysts and functional analysts in getting the requirements and implementing ETL solutions
Qualification
Required
8+ years of overall experience and delivery experience with 6+ years of recent experience in data engineering
Bachelor's/ master's degree in information technology/computer science or a relevant domain
Databricks certifications and/ or Microsoft Azure Certifications
Strong analytic skills related to working with unstructured datasets
Data architecture (traditional – examples include Oracle & SQL Server + modern – examples include AWS & Azure) and knowledge of data architecture patterns
Strong experience in building/designing Data warehouses, data stores for analytics consumption on Cloud (real-time as well as batch use cases)
Ability to interact with business analysts and functional analysts in getting the requirements and implementing the ELT solutions
Proficiency and extensive experience with Spark & Python/ Scala and performance tuning
Hands-on experience building and implementing a data ingestion and curation process developed using Cloud data tools such as Cosmos DB, Data Factory, Spark (Scala/Python), Data bricks, Delta Lake, code versioning experience using Azure DevOps, etc
Very good problem solver and excellent communication skills - both written and verbal
Preferred
Experience using Event Hub for data integrations
Performance tuning on Azure SQL Synapse dedicated SQL Pool and server SQL Pools, Cosmos SQL APIs loading and consumption optimizations
Eagerness to learn new technologies on the fly and ship to production
Working knowledge of Azure DevOps pipelines
Good scripting experience primarily on shell/bash/ PowerShell would be desirable
Hive database management and Performance tuning - Partitioning / Bucketing
Prior experience leveraging AI and ML capabilities to automate and optimize complex workflows with intelligent use of low or no-code
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
A 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 .
10001+ employees
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
Michel A. Khalaf
President & CEO, MetLife, Inc.
Koley Corte
Senior Vice President & Chief Marketing Officer - Institutional, Regional, Global Insights+Analytics
Recent News
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