Senior Data Engineer

Location(s)

Position Summary:

We areseekinga highly skilledSenior Data Engineerto guide the design, development, and delivery of our enterprise data platforms. This role requires deep technicalexpertisewith Snowflake,Core AWS Services, cloud-based architecture, and modern data engineering frameworks. As asenior engineer, you will define architectural patterns, mentor engineering teams, and ensure the successful execution of strategic data initiatives that support analytics, reporting, and business intelligence efforts across the organization.

PositionResponsibilities:

Technical Leadership & Architecture

• Provide technical leadership to data engineers, setting standards for solution design, coding practices, data governance, and quality.

• Define and evolve the enterprise data architectureleveragingSnowflake, Data Vault 2.0, and modernevent driven andELT frameworks.

• Lead architecture reviews,establishengineering best practices, and guide platform modernization efforts.

• Mentor engineering team members,facilitatecode reviews, and promote continuous learning and innovation.

Solution Design &DataEngineering

• Architect and oversee the delivery of scalable data pipelines, ingestion frameworks, and transformation processes using Snowflake, Python, Spark, Informatica (PowerCenter/IDMC), AWS Glue, and cloud-native tooling.

• Design andmaintainenterprise data models, including Data Vault 2.0 (Hubs, Links, Satellites, PIT, Bridge structures) and dimensional models.

• Develop andoptimizeSnowflake platform capabilities, including:

• Snowpipe, Streams, Tasks, File Formats, External Stages

• Dynamic Tables and ELT pipeline automation

• Warehouse sizing, performance tuning, and cost optimization

• Implement scalable batch, micro-batch, and real-time ingestion solutions following best practices.

Stakeholder Engagement & Delivery Ownership

• Translate complex business requirements into technical design specifications and actionable development plans.

• Partner with product owners, business stakeholders, architects, and analytics teams to deliver high-impact data solutions.

• Manage technical execution across multiple initiatives, ensuring alignment with enterprise priorities, data strategies, and delivery timelines.

• Oversee documentation,deploymentreadiness, testing processes, and quality assurance for production releases.

Operational Excellence & Production Support

• Ensure operational reliability, data accuracy, and performance of enterprise data warehouse and analytical environments.

• Lead root-cause analysis for production issues and drive implementation of long-term preventative solutions.

• Implement robust monitoring frameworks using tools such as Snowflake Resource Monitors, CloudWatch, Datadog, or equivalent observability platforms.

• Conduct performance optimization on Snowflake workloads, SQL queries, pipelines, and integrations.

PositionQualifications:

• 8+ years of experience in data engineering, with 2+ years ina senior, lead, or architect capacity.

• Advanced hands-onexpertisein Snowflake, including constant learning on advanced new features.

• Strong experience implementing Data Vault 2.0 models and automated ELT frameworks.

• Proficiencywith ETL/ELT and data integration tools such as Informatica IDMC,PowerCenter,Pentaho, AWS Glue,Control Mand Python-based pipelines.

• Deep understanding of:

• Data warehousing and analytics engineering principles

• Dimensional modeling and relational structures

• ELT patterns, CDC frameworks, and metadata-driven design

• Orchestration frameworks (Control-M, Airflow)

• Strong SQLexpertisewith experience in stored procedures, Snowflake Scripting, and complex query optimization.

• Hands-on experience designing and delivering large-scale AWS-based data platforms.

• Demonstrated leadership in guiding teams, influencing architecture decisions, and managing technical delivery.

• Excellent communication and collaboration skills with the ability to partner across technical and business teams.

Preferred Qualifications:

• Experience with advanced Snowflake features:

• Snowpark (Python/Java/Scala)

• Snowflake Warehouses, Databases, Schemas, RBAC

• Snowpipe, Tasks, Streams, Stages, File Formats

• Performance tuning, warehouse optimization, clustering

• Data sharing, secure data sharing, reader accounts

• AI/ML Function

• Experience with modernDataOps, DevOps, and automation frameworks:

• CI/CD (GitHub Actions, GitLab CI, Azure DevOps)

• Infrastructure-as-Code(Terraform,CloudFormation)

• Automated testing frameworks for data pipelines

• Familiarity with data quality and governance tools such as Great Expectations, Monte Carlo,Datafold, Soda, Alation, or Collibra.

• Experience with streaming technologies such as Kafka, Kinesis, or MSK.

• Exposure to ML feature engineering pipelines orMLOpspractices.

• P& C Insurance industry experience, specifically auto insurance experiencerequiredand is strongly preferred.

• Prior experienceon data warehousing with GuidewirePolicyCenter,ClaimCenterorBillingCenterand Agency Licensing datais preferred

• Bachelors degree in Computer Science, Information Systems, Engineering, or equivalent relevant experience/certifications.

• Opportunity to lead the technical direction of an enterprise-wide data platform.

• Work with modern cloud-native technologies and shape the future of the organizations data strategy.

• Collaborative, growth-oriented environment with strong investment in data modernization.

• Sponsorship is not accepted for this opportunity.

• This position can be worked hybrid out of a local Kemper office, including Chicago, IL, Birmingham, AL, Richardson, TX, or Jacksonville,FL. For non-local candidates, remote options with travel are available.
• The range for this position is $99,000 to $164,800. Whendeterminingcandidate offers, we consider experience, skills, education, certifications, and geographic location among other factors.This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)