Kinsale is seeking a Lead Data Engineer who is passionate about building scalable future-focused data solutions. As we continue our modernization and cloud journey this role will not only design and implement technical solutions but also recommend strategic direction for how our data platforms evolve to meet long-term business goals. The Lead Data Engineer will partner closely with the Enterprise and Application Architects Data Architects Data Director and business leaders to define enterprise-wide data engineering standards ensure process consistency and influence technology adoption.
Responsibilities
Architecture & Strategy
- Lead the design and evolution of cloud-native database and data access architectures to support both transactional and analytical workloads.
- Recommend the strategic direction for Kinsales data access layer ensuring scalability flexibility and cost efficiency.
- Evaluate and drive adoption of data technologies to maintain competitive advantage.
Data Engineering Leadership
- Serve as the primary technical leader for databases and data integration services.
- Establish and enforce best practices for data engineering including standards for CI/CD data security resilience and disaster recovery as well as working with Enterprise Architecture to develop and ensure the data team meets enterprise standards.
- Lead cross-functional projects to integrate new data sources and expand data capabilities across underwriting actuarial and analytics teams.
- Provide oversight and mentoring to data engineers fostering a culture of innovation continuous learning and knowledge sharing.
Operational Excellence
- Direct the development testing and maintenance of scalable database and ETL architectures.
- Monitor system performance and lead initiatives to improve data reliability quality and efficiency.
- Drive the implementation of automated monitoring alerting and self-healing systems to ensure platform resiliency.
- Analyze and resolve complex issues related to database platforms integrations or performance bottlenecks.
Innovation & Generative AI - Champion the responsible adoption of Generative AI tools (e.g. GitHub Copilot ChatGPT Claude Code etc.) to accelerate development automate repetitive tasks and enhance productivity.
- Develop and teach prompting strategies for data engineering use cases (SQL generation data profiling data validation).
- Lead adoption of GenAI-assisted scripting and playbook generation ensuring secure and compliant usage across the team.
Cross-functional Collaboration
- Collaborate with IT Security and Compliance teams to ensure regulatory alignment in data handling and access.
- Partner with business stakeholders to translate requirements into scalable efficient data solutions.
- Act as a trusted advisor across multiple disciplines influencing architectural decisions across engineering teams.
Qualifications
- Bachelors degree in Computer Science Computer Engineering or related field.
- Proven expertise designing and leading cloud-native data platforms at scale (AWS preferred).
- Demonstrated ability to set strategic direction for data platforms balancing innovation governance and cost efficiency.
Advanced SQL and deep knowledge of relational (Oracle PostgreSQL SQL Server MySQL) and non-relational databases (DynamoDB MongoDB). - Strong proficiency in programming/scripting (Python SQL Java etc.) and automation frameworks.
- Experience leading distributed data systems (Kafka Spark or similar) is highly desirable.
- Expertise in data security privacy and governance.
- Hands-on experience with Agile practices.
- Strong leadership communication negotiation and conflict resolution skills with a track record of influencing cross-functional teams.
- Ability to manage multiple priorities drive strategic initiatives and mentor team members.
At Kinsale we offer the following great benefits:
- Competitive salary with performance-based bonus opportunities
- Single and Family Health Dental and Vision Insurance plans with HSA funds contributed
- Short-Term and Long-Term disability
- Life Insurance
- Matching 401(k) with no vesting time period
- Generous Paid Time Off and Holidays
- Education dollars for training conferences and certifications
- Promotion from within the company with clear goals and developed career paths
Kinsale values strong financial responsibility. A credit check will be conducted as a part of the selection process for roles that require sound judgement trustworthiness or access to sensitive information.
Kinsale is seeking a Lead Data Engineer who is passionate about building scalable future-focused data solutions. As we continue our modernization and cloud journey this role will not only design and implement technical solutions but also recommend strategic direction for how our data platforms evolv...
Kinsale is seeking a Lead Data Engineer who is passionate about building scalable future-focused data solutions. As we continue our modernization and cloud journey this role will not only design and implement technical solutions but also recommend strategic direction for how our data platforms evolve to meet long-term business goals. The Lead Data Engineer will partner closely with the Enterprise and Application Architects Data Architects Data Director and business leaders to define enterprise-wide data engineering standards ensure process consistency and influence technology adoption.
Responsibilities
Architecture & Strategy
- Lead the design and evolution of cloud-native database and data access architectures to support both transactional and analytical workloads.
- Recommend the strategic direction for Kinsales data access layer ensuring scalability flexibility and cost efficiency.
- Evaluate and drive adoption of data technologies to maintain competitive advantage.
Data Engineering Leadership
- Serve as the primary technical leader for databases and data integration services.
- Establish and enforce best practices for data engineering including standards for CI/CD data security resilience and disaster recovery as well as working with Enterprise Architecture to develop and ensure the data team meets enterprise standards.
- Lead cross-functional projects to integrate new data sources and expand data capabilities across underwriting actuarial and analytics teams.
- Provide oversight and mentoring to data engineers fostering a culture of innovation continuous learning and knowledge sharing.
Operational Excellence
- Direct the development testing and maintenance of scalable database and ETL architectures.
- Monitor system performance and lead initiatives to improve data reliability quality and efficiency.
- Drive the implementation of automated monitoring alerting and self-healing systems to ensure platform resiliency.
- Analyze and resolve complex issues related to database platforms integrations or performance bottlenecks.
Innovation & Generative AI - Champion the responsible adoption of Generative AI tools (e.g. GitHub Copilot ChatGPT Claude Code etc.) to accelerate development automate repetitive tasks and enhance productivity.
- Develop and teach prompting strategies for data engineering use cases (SQL generation data profiling data validation).
- Lead adoption of GenAI-assisted scripting and playbook generation ensuring secure and compliant usage across the team.
Cross-functional Collaboration
- Collaborate with IT Security and Compliance teams to ensure regulatory alignment in data handling and access.
- Partner with business stakeholders to translate requirements into scalable efficient data solutions.
- Act as a trusted advisor across multiple disciplines influencing architectural decisions across engineering teams.
Qualifications
- Bachelors degree in Computer Science Computer Engineering or related field.
- Proven expertise designing and leading cloud-native data platforms at scale (AWS preferred).
- Demonstrated ability to set strategic direction for data platforms balancing innovation governance and cost efficiency.
Advanced SQL and deep knowledge of relational (Oracle PostgreSQL SQL Server MySQL) and non-relational databases (DynamoDB MongoDB). - Strong proficiency in programming/scripting (Python SQL Java etc.) and automation frameworks.
- Experience leading distributed data systems (Kafka Spark or similar) is highly desirable.
- Expertise in data security privacy and governance.
- Hands-on experience with Agile practices.
- Strong leadership communication negotiation and conflict resolution skills with a track record of influencing cross-functional teams.
- Ability to manage multiple priorities drive strategic initiatives and mentor team members.
At Kinsale we offer the following great benefits:
- Competitive salary with performance-based bonus opportunities
- Single and Family Health Dental and Vision Insurance plans with HSA funds contributed
- Short-Term and Long-Term disability
- Life Insurance
- Matching 401(k) with no vesting time period
- Generous Paid Time Off and Holidays
- Education dollars for training conferences and certifications
- Promotion from within the company with clear goals and developed career paths
Kinsale values strong financial responsibility. A credit check will be conducted as a part of the selection process for roles that require sound judgement trustworthiness or access to sensitive information.
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