Senior Database Administrator

Incline P&C GroupAustin, TX
Hybrid

About The Position

Incline Insurance Group is seeking a hands-on, technically seasoned Senior Database Administrator to own the design, performance, security, and operational excellence of Incline’s cloud-based data platforms. This role plays a critical part in ensuring the reliability, scalability, and governance of enterprise data systems that support analytics, reporting, and AI-driven decision-making across the organization. The Senior Database Administrator will partner closely with Data Engineering, Analytics, Security, and business stakeholders to deliver high-performing, trusted data platforms that enable actuarial, finance, underwriting, and executive leadership teams. About the Reporting & Analytics Team The Reporting & Analytics team serves as the enterprise data and analytics backbone for Incline. The team is responsible for transforming data received from Incline’s Managing General Agent (MGA) partners into a unified enterprise data model and delivering trusted, decision-ready analytics across the organization. The team partners closely with Technology, Security, Actuarial, Finance, and Underwriting to support Incline’s modern, cloud-based data ecosystem. The Senior Database Administrator plays a leadership role in defining database architecture, ensuring operational excellence, and establishing best practices across Incline’s enterprise data platforms.

Requirements

  • 5+ years of experience managing cloud-based database platforms, data warehouses, or analytics systems.
  • Strong experience with AWS-based technologies such as Amazon Redshift, Snowflake, PostgreSQL, or similar platforms.
  • Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Mathematics, Statistics, or a related field.
  • Advanced SQL proficiency.
  • Experience with data transformation tools such as DBT, Matillion, Python, or similar platforms.
  • Strong understanding of data modeling, database architecture, data warehousing, and data governance/security concepts.
  • Experience supporting production-grade analytics and reporting environments.
  • Strong analytical and problem-solving skills.
  • Ability to independently lead complex technical initiatives end-to-end.
  • Excellent communication skills, including the ability to engage with executive stakeholders.
  • Proven ability to collaborate effectively across technical and business teams.

Nice To Haves

  • Prior experience in insurance, financial services, or other regulated industries strongly preferred.

Responsibilities

  • Lead the ingestion, validation, cleansing, and transformation of complex insurance datasets, including policy, claims, and billing data.
  • Design, implement, and optimize scalable data pipelines aligned with Incline’s unified enterprise data model.
  • Continuously improve performance, reliability, and scalability of the enterprise data platform.
  • Partner with actuarial, finance, underwriting, and technology teams to support strategic decision-making.
  • Translate business questions into technical data solutions and analytical frameworks.
  • Ensure data models accurately reflect insurance business processes and operational realities.
  • Perform exploratory and advanced data analysis to identify trends, anomalies, and improvement opportunities.
  • Support pricing, reserving, underwriting, and portfolio performance analysis through reliable data access and structure.
  • Communicate insights and technical concepts clearly to both technical and executive audiences.
  • Design and optimize database schemas, storage structures, indexing strategies, and performance tuning approaches.
  • Align external MGA data structures with Incline’s internal data architecture.
  • Maintain high availability, security, and operational reliability of cloud-based database systems.
  • Support and guide the development of executive-level dashboards and reporting solutions.
  • Ensure reporting platforms are scalable, intuitive, and performant.
  • Partner with analytics teams to continuously improve reporting based on stakeholder feedback.
  • Establish and enforce enterprise data quality standards and governance practices.
  • Maintain clear documentation and audit-ready data processes.
  • Mentor data analysts and engineers on best practices in database design, performance optimization, and analytics enablement.
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