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 enterprise‑wide 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. 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 and 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. Responsibilities Lead data architecture initiatives supporting evolving requirements of actuarial, underwriting, claims, compliance, finance, and product innovation teams. Evaluate and drive adoption of cutting‑edge data technologies and architectural approaches—cloud‑native, distributed, streaming, data lakehouse, real‑time analytics. Accelerate enablement of cloud‑based medallion architecture (bronze, silver, gold) data pipeline automation, metadata management, and advanced analytics infrastructure. Promote strong data governance integration—including quality, cataloging, lineage, privacy, security, and compliance policies—across all data architecture outputs. 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. Serve as chief architectural advisor and liaison to internal and external stakeholders, educating teams on data architecture capabilities and value. Champion continuous improvement in 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 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 frameworks. Proven delivery across modern data technology stacks—including Databricks, Snowflake, Spark, AWS, Azure, GCP, data services, streaming, integration platforms, and metadata cataloging tools. In‑depth understanding of metadata management, data governance, lineage, cataloging, residency, and security/privacy frameworks. Familiarity with insurance business models and core platforms such as Guidewire, Duck Creek, Majesco, and regulatory‑compliance‑driven 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. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, Information Systems, or a related field; an advanced degree is highly preferred. 12 years of experience in data architecture and data management. Benefits Comprehensive Medical Plan covering Medical, Dental, Vision 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 Equal Opportunity Employer LTIMindtree is an equal opportunity employer committed to diversity in the workplace. Employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family‑care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. #J-18808-Ljbffr LTM