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 insurancecentric data modeling frameworks data architecture best practices and reference architectures to ensure quality consistency and performance

Architectural Oversight Solution Delivery

Drive architectural oversight for design build and operate phases of critical enterprise data initiativesincluding 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 handson technical delivery and problem solving for complex strategic initiatives ensuring successful execution against business compliance and technical requirements

Formalize current and futurestate 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 ensure applicability across the business for operational analytical and regulatory purposes

Integrate core insurance application data eg Policy Administration Claims Reinsurance Financials with enterprise data platform and external thirdparty sources for holistic insights

Lead data architecture initiatives supporting evolving requirements of actuarial underwriting claims compliance finance and product innovation teams

Adoption of Modern Data Technologies Best Practices

Evaluate select and drive adoption of cuttingedge data technologies and architectural approaches cloudnative distributed streaming data lakehouse realtime analytics

Accelerate enablement of cloudbased medallion architecture bronzesilvergold data pipeline automation metadata management and advanced analytics infrastructure

Promote strong data governance integrationincluding quality cataloging lineage privacy security and compliance policiesacross all data architecture outputs

Data Organization Leadership Team Building

Build and mentor a highperforming Data Architecture function including data architects modelers solution designers and technical delivery leads

Foster crossteam collaboration with engineering operations analytics and governance teams ensuring seamless delivery of robust data solutions across the enterprise

Stakeholder Engagement Change Leadership

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

Continuous Improvement Innovation Risk Management

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 Requirements

Advanced handson expertise in designing and modeling enterprise data architectures cloudnative hybrid lakehouse distributed realtime

Deep experience with data management advanced data modeling conceptual logical physical insurance data schemas and master datareference data frameworks

Proven delivery across modern data technology stacksDatabricks Snowflake Spark AWSAzureGCP data services streamingdata integration platforms metadatacataloging tools

Expertise in Medallion architecture batchstreaming pipeline design external data augmentation

Indepth understanding of metadata management data governance lineage cataloging residency and securityprivacy frameworks

Familiarity with insurance business models core platforms Guidewire Duck Creek Majesco and regulatorycompliancedriven 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

Bachelors or Masters degree in Computer Science Data Science Data Engineering Information Systems or related field advanced degree highly preferred

12 years experience in data architecture data mo

Skills

Mandatory Skills : ANSI-SQL
Good to Have Skills : .Net Core, Java

Other details

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits and Perks:

• 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

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. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our 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.

Benefits
Compensation range: $140,000.00 to $160,000.00 per year
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/