Senior Data Engineer designing and implementing sustainable data solutions for diverse clients. Collaborating closely with stakeholders to enhance data services and platforms in a hybrid environment.
About the role
- Risk Data Engineer and Architect at Lincoln Financial supporting risk analytics through AWS data solutions. Building scalable data pipelines and collaborating with cross-functional teams.
Responsibilities
- Architect cloud-native data solutions using AWS services (S3, Redshift, Glue, EMR, Lambda, Athena) and Databricks (Unity Catalog, Workflows, MLflow) or similar technology to support risk analytics at scale
- Build and optimize data pipelines using Python, PySpark, and SQL to integrate structured and unstructured data from internal and external sources
- Drive modernization initiatives by migrating legacy on-premises systems to cloud platforms while ensuring zero disruption to critical business services
- Implement data governance frameworks including cataloging, lineage tracking, quality monitoring, and access controls aligned with internal controls and regulatory requirements
- Collaborate cross-functionally with data scientists, risk managers, and business stakeholders to translate requirements into scalable technical solutions, drive change management and process improvements
- Develop production-grade code following DevOps practices including CI/CD, automated testing, code reviews, and infrastructure-as-code
- Manage and optimize relational databases (MySQL, Aurora PostgreSQL, Redshift) for performance, cost efficiency, and data integrity
- Integrate structured and unstructured data from various internal and external sources
- Mentor and influence technical standards and architectural decisions across the Risk, Investments Technology organization
- Monitor and troubleshoot production systems, implementing observability practices and proactive performance tuning
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering or related field
- 5+ years of experience in data engineering or similar role implementing with a variety of on-premises and cloud data management, integration, and analytical technologies
- Production experience with relational databases such as MySQL, and SQL Server, including designing schemas, writing complex queries, optimizing performance, and ensuring data integrity for a variety of business applications
- Strong experience with end-to-end data architecture implementing systems that use AWS services related to data storage and management, must have advanced proficiency in SQL, Python, YAML and Bash
- Thorough understanding of the Software Development Life Cycle (SDLC), including DevOps practices, CI/CD processes, application resiliency, and security measures
- Excellent communication skills with ability to translate technical concepts for business audiences
- Data governance experience: catalog tools, data quality frameworks, lineage tracking, and compliance controls is a plus
- AWS certifications such as SAA, Associate Developer, Data Analytics Specialty, or Databricks certification is a plus
Benefits
- Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes
- Leadership development and virtual training opportunities
- PTO/parental leave
- Competitive 401K and employee benefits
- Free financial counseling, health coaching and employee assistance program
- Tuition assistance program
- Work arrangements that work for you
- Effective productivity/technology tools and training
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