Key skills
Data pipelinesData warehouse architectureSnowflakedbtAirflowPythonData modelingDimensional modelingSlowly changing dimensionsData vaultAWS data servicesInfrastructure-as-codeAWSVaultMentoring
About this role
Authentic is a company that helps insurance brokers create better insurance products for their clients by providing a technology platform and support. They are seeking a Senior Software Engineer - Data to lead the design and implementation of data pipelines and infrastructure while ensuring data quality and governance practices.
Responsibilities:
- Lead the design and implementation of data pipelines and infrastructure that power underwriting models, claims processing, and operational reporting—taking ownership from problem definition through delivery
- Own the data warehouse architecture, making decisions that balance analytical performance, operational needs, and long-term scalability
- Set technical standards and best practices for data modeling, pipeline development, and data quality across the team
- Identify bottlenecks across the data stack and build solutions that improve reliability, reduce latency, and scale with business growth
- Partner with engineering, product, and ops teams to understand data needs and translate them into well-designed systems
- Build monitoring, alerting, and data quality frameworks that catch issues before they impact downstream consumers
- Drive data governance practices, including documentation, lineage tracking, and access controls for regulatory and compliance needs
- Mentor and coach other engineers on the team, helping them grow technically and develop ownership mindsets
Requirements:
- 5+ years of experience building and maintaining data pipelines and infrastructure in production environments at scale
- Strong proficiency with modern data stack tools: Snowflake, dbt, and Airflow (or similar orchestration tools)
- Deep experience with Python for data processing and pipeline development
- Expert understanding of data modeling best practices (dimensional modeling, slowly changing dimensions, data vault, etc.)
- Familiarity with AWS data services and infrastructure-as-code
- Demonstrated high agency and ownership: you naturally clarify what 'good' looks like, ask great questions, and drive to completion
- Track record of building reliable systems without sacrificing velocity—you know when to move fast and when to be careful
- Experience mentoring engineers and elevating team capabilities