Principal Data Architect

Technical leadership and architecture enablement

• Provide technical direction and architectural leadership to data engineering, analytics engineering, and platform teams
• Set standards for design quality, model integrity, operational excellence, and scalable delivery across the Enterprise Data & Operations function
• Mentor engineers and technical leaders in architectural thinking, modern engineering practices, and delivery excellence
• Build an automation-first culture focused on reliability, repeatability, maintainability, and continuous improvement
• Raise the bar on technical quality, design rigor, and execution across the data engineering organization
• Platform and solution delivery
• Design, develop, and oversee end-to-end enterprise data solutions supporting multiple data domains, data marts, and analytics use cases
• Guide the design and modernization of foundational enterprise data models, including decisions around grain, entities, relationships, conformed dimensions, and slowly changing dimensions
• Ensure scalable batch and streaming data pipelines are built to support both enterprise reporting and advanced analytics environments
• Drive implementation of layered data architecture patterns, including Bronze/Silver/Gold or equivalent logical data zones
• Partner with Engineering teams to productionize data pipelines with strong performance, resiliency, and operational supportability

Data reliability, governance, and operational excellence

• Own the reliability, quality, consistency, and observability of Mercury’s core data assets and pipelines
• Establish and enforce data quality frameworks, automated testing, lineage, monitoring, alerting, and recovery processes
• Define service levels and operational standards for critical data products and pipelines
• Reduce manual processes and technical debt through standardization, automation, and disciplined platform engineering
• Partner with security, compliance, and governance stakeholders to ensure data architecture aligns with enterprise risk and control requirements
• Cross-functional influence and innovation
• Translate business problems into scalable data products, architecture patterns, and prioritized roadmaps
• Partner across Product, Engineering, Data Science, Analytics, and business teams to ensure the data platform enables real business outcomes
• Lead proof of concepts, architecture reviews, and technology evaluations for new tools and capabilities
• Influence vendor selection, platform direction, and engineering standards through fact-based analysis and practical technical leadership
• Identify opportunities to apply GenAI and LLM capabilities to improve engineering productivity, data operations, governance, and insight generation

Qualifications: Education: Bachelor’s degree in computer science, Engineering, Information Systems, or a related field; Master’s degree preferred Experience: 12+ years of experience in data engineering, data architecture, or enterprise data platform leadership 5-10 years of experience leading, mentoring, and growing high-performing data engineering or analytics engineering teams Knowledge and Skills: Proven experience defining enterprise data strategy and leading large-scale modernization of data pipelines, platforms, and models Deep expertise in enterprise data modeling, including 3NF, dimensional, star, and snowflake patterns, with strong judgment on how to model real-world business processes Strong experience redesigning foundational data models and pipelines with a focus on scalability, usability, and reliability Expert-level SQL and Python skills, with strong production experience in Informatica and dbt, including models, testing, and package management Experience with orchestration frameworks such as Airflow, Dagster, Tivoli, or similar tools Familiarity with streaming and event-driven data technologies such as Kafka or comparable platforms Hands-on experience with modern warehouse and lakehouse platforms such as Snowflake, Databricks, Redshift, or BigQuery Strong understanding of cloud-native engineering practices across AWS, GCP, or Azure Demonstrated commitment to engineering best practices, including Git, CI/CD, infrastructure automation, testing, and DRY design principles Experience implementing data quality, observability, lineage, and operational controls in production environments Strong stakeholder management and communication skills, with the ability to influence technical and non-technical leaders Data product mindset with the ability to turn business needs into architecture, roadmaps, and execution plans Experience in insurance, SaaS, or marketplace environments is a plus Experience leveraging GenAI or LLM platforms such as OpenAI, Claude, or Gemini to solve meaningful business and engineering problems is strongly preferred About the Company: Why choose a career at Mercury? At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it. Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life. We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals. Learn more about us here: https://www.mercuryinsurance.com/about/careers Perks and Benefits: We offer many great benefits, including: Competitive compensation Flexibility to work from anywhere in the United States for most positions Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours) Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus) Medical, dental, vision, life, and pet insurance 401 (k) retirement savings plan with company match Engaging work environment Promotional opportunities Education assistance Professional and personal development opportunities Company recognition program Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more Mercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law. Pay Range: USD $107,344.71 - USD $300,603.92 /Yr.