Associate Principal - Data Engineering
Role Description
Define and execute the data architecture vision and strategic roadmap in close alignment with the CDO and enterprise data strategy.
Architect scalable, resilient, and secure solutions for enterprisewide data integration, warehousing, analytics, operational systems, and augmentation with external data sources.
Develop and champion standardized insurance-centric data modeling frameworks, data architecture best practices, and reference architectures to ensure quality, consistency, and performance.
Architectural Oversight: Drive architectural oversight for design, build, and operate phases of critical enterprise data initiatives, including new insurance products, data platforms, modernization, digital transformation, and regulatory projects.
Translate functional and technical requirements into robust data architectures, guide engineering, analytics, product, and delivery teams throughout the data solution lifecycle.
Perform hands-on technical delivery and problem solving for complex strategic initiatives, ensuring successful execution against business compliance and technical requirements.
Formalize current and future-state architectural roadmaps that support unified global and consistent views of Customer, Policy, Claims, Financials, and other key insurance data domains.
Insurance Data Domain Leadership: Develop and maintain standardized insurance data models, schemas, and pipelines, ensuring applicability across the business for operational, analytical, and regulatory purposes.
Integrate core insurance application data, such as Policy Administration, Claims, Reinsurance, Financials, with enterprise data platform and external third-party sources for holistic insights.
Evaluate and drive adoption of modern data technologies and architectural approaches, including cloud-native, distributed streaming, data lakes, real-time analytics, and cloud-based Medallion architecture.
Accelerate enablement of cloud-based Medallion architecture, batch/streaming pipeline design, external data augmentation, metadata cataloging, and advanced analytics infrastructure.
Promote strong data governance integration, including quality, cataloging, lineage, privacy, security, and compliance policies across all data architecture outputs.
Data Organization Leadership: Team Building: Build and mentor a high-performing Data Architecture function, including data architects, modelers, solution designers, and technical delivery leads.
Foster cross-team collaboration with engineering, operations, analytics, and governance teams to ensure seamless delivery of robust data solutions across the enterprise.
Stakeholder Engagement: Serve as chief architectural advisor and liaison to internal and external stakeholders, educating teams on data architecture capabilities and value.
Ensure business requirements are accurately captured and reflected in scalable technical designs, drive business adoption and platform utilization, and continuously improve architectural processes, tooling, methodology, and capability development.
Lead architectural risk assessment, mitigation, and proactive controls to ensure technical, business, and compliance objectives are met.
Track and report architectural health and progress using enterprise KPIs, quality metrics, and roadmap milestones.
Technical Skills Requirements
Advanced hands-on expertise in designing and modeling enterprise data architectures, cloud-native, hybrid, lakehouse, distributed, real-time.
Deep experience with data management, advanced data modeling, conceptual, logical, physical, insurance data schemas, and master data/reference data frameworks.
Proven delivery across modern data technology stacks, Databricks, Snowflake, Spark, AWS, Azure, GCP, data services, streaming data integration platforms, metadata cataloging tools.
Expertise in Medallion architecture, batch/streaming pipeline design, external data augmentation.
In-depth understanding of metadata management, data governance, lineage, cataloging, residency, and security/privacy frameworks.
Familiarity with insurance business models, core platforms, Guidewire, Duck Creek, Majesco, and regulatory-compliant architecture requirements.
Ability to assess legacy and modern architectures and transition organizations toward future state aligned with business goals.
Experience driving transformation of architecture standards and best practices across globally distributed teams.
Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Data Engineering, Information Systems, or related field, advanced degree highly preferred.
12 years of experience in data architecture, data modeling, and related fields.
Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance, and internal equity.
Benefits/Perks: Comprehensive Medical Plan, Short Term and Long-Term Disability Coverage, 401(k) Plan with company match, Life Insurance, Vacation Time, Sick Leave, Paid Holidays, Paid Paternity and Maternity Leave.
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training.