Hybrid Lead Risk Data Engineer & Architect

Lincoln Financial Group; Radnor (Delaware County); Hybrid; USD 120,000 - 193,000; Full time

Benefits offered by this job

Health benefits

Tuition assistance

Career development opportunities

Job summary

Lincoln Financial Group seeks a senior Data Engineer to migrate risk analytics processes to robust, production-grade platforms. You will collaborate with risk analysts, researchers and tech leaders to design cloud-native data architectures and scalable pipelines.

The role emphasizes AWS and Databricks, data governance, and DevOps practices. Hybrid work involves 3 days in Lincoln offices, with a strong focus on data quality and operational excellence.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering or related field.
• 5+ years of experience in data engineering with on-prem and cloud technologies.
• Production experience with relational databases such as MySQL and SQL Server, including designing schemas and optimizing queries.
• Strong experience with end-to-end data architecture using AWS data services; proficient in SQL, Python, YAML and Bash.
• Understanding of SDLC, DevOps, application resiliency and security measures; data governance is a plus; AWS/Data analytics certifications are a plus.

Responsibilities

• Architect cloud-native data solutions using AWS services and Databricks to support risk analytics at scale.
• Build and optimize data pipelines using Python, PySpark, and SQL.
• Migrate legacy on-prem systems to cloud platforms with zero business disruption.
• Implement data governance: cataloging, lineage tracking, quality monitoring, access controls.
• Collaborate with data scientists, risk managers and stakeholders to translate requirements into scalable solutions.
• Develop production-grade code with CI/CD, automated testing, code reviews and IaC practices.
• Manage and optimize relational databases (MySQL, Aurora PostgreSQL, Redshift).
• Mentor and influence technical standards and architectural decisions across teams.
• Monitor and troubleshoot production systems with observability and performance tuning.

Skills

Data engineering

Cloud data architectures

SQL proficiency

Python

YAML

Bash

SDLC/DevOps

Communication skills

Data governance

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering or related field

Tools

AWS services (S3, Redshift, Glue, EMR, Lambda, Athena)

Databricks Unity Catalog

MySQL

SQL Server

Aurora PostgreSQL

Redshift

PySpark

Job description

Lincoln Financial Group seeks a senior Data Engineer to migrate risk analytics processes to robust, production-grade platforms. You will collaborate with risk analysts, researchers and tech leaders to design cloud-native data architectures and scalable pipelines.

The role emphasizes AWS and Databricks, data governance, and DevOps practices. Hybrid work involves 3 days in Lincoln offices, with a strong focus on data quality and operational excellence.