Lead Data Architect & Engineer - AWS

Location US-TX-Richardson;US-GA-Dunwoody;US-AZ-Tempe;US-IL-Bloomington

Job Category Technology and UX

Position Type Regular Full Time

Req ID 42441

Overview

Are you a strategic leader with a passion for designing and optimizing data infrastructure? State Farm is seeking an accomplished and visionary Lead Database Architect and Data Engineering Team Lead to guide our centralized database and data pipeline infrastructure. This role is responsible for architecting and managing robust, scalable, and secure data environments using technologies like DB2, PostgreSQL, AWS (Aurora Postgres, Glue, Lambda, Redshift, Athena, S3), and open-source databases. The ideal candidate will demonstrate expertise in data engineering, architecture, and administration, leading innovation and best practices across the organization.

Responsibilities

Key Responsibilities :

• Architect, implement, containerize, execute, validate, monitor, and continuously improve data analytics solutions and pipelines, ensuring performance and reliability.
• Demonstrate advanced proficiency in ETL, data integration, reusable data pipelines, data management, analytics, and visualization.
• Design, deploy, and maintain AWS cloud infrastructure using services such as Aurora Postgres, Glue, Lambda, Redshift, Athena, S3, and Pyspark, leveraging Terraform for infrastructure as code.
• Hands-on experience with database administration and design for DB2, PostgreSQL, MySQL, and other open-source databases.
• Ensure strict adherence to organizational data management and governance policies (e.g., State Farm standards), promoting data security, integrity, and compliance.
• Identify and evaluate critical and emerging technologies, tools, platforms, and data sources to support and extend data solutions.
• Provide leadership for Proofs of Concept (POCs) and pilot initiatives, partnering with engineering teams to solve business challenges.
• Serve as the primary technical leader and mentor for the database and data engineering team. Advise product teams on best practices for data ingestion, transformation, consumption, and centralized data management.
• Gather and create analytic business requirements, research and evaluate internal and external data sources, and design, develop, and maintain data assets for analytics.
• Utilize GitHub / GitLab for version control and demonstrate hands-on experience with GitOps workflows for deployment and configuration management.
• Develop solutions using Python and SAS for data engineering and analytics automation.
• Exhibit a strong ability and enthusiasm to learn and adopt new technologies, languages, and tools in the rapidly evolving data engineering field.

Qualifications

Required :

Work arrangement :

Hybrid : Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment.

Hybrid work arrangement for Enterprise Technology is defined as residing with a 180-mile radius of the Hubs and Corporate.

HUB LOCATIONS : Bloomington, IL (Corp HQ); Richardson, TX; Dunwoody, GA; and Tempe, AZ

SFARM

#LI-LP1

#LI-Hybrid

PM22

Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38 : 45-hour work week!

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

Visit our State Farm Careers pag e for more information on our benefits , locations , and the hiring process of joining the State Farm team!

#LI-LP1

#LI-Hybrid

Please see job description

PI279244738

Job distributed by JobTarget .