Associate Principal - Data Engineering

LTM; Atlanta (GA); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

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

Job summary

LTM is seeking a Data Architect to define and execute data architecture vision and strategic roadmap. This role requires hands-on delivery and problem-solving for enterprise-wide data initiatives, including design and implementation across teams.

The ideal candidate will have a Bachelor's or Master's degree in a related field and at least 12 years of experience in data architecture. They will lead initiatives in cutting-edge data technologies and ensure data governance integration across all outputs.

Benefits include comprehensive medical plans and 401(k) with company match.

Qualifications

• 12 years of experience in data architecture and management.
• Experience with data management frameworks and governance.
• Advanced hands-on expertise in designing enterprise data architectures.

Responsibilities

• Lead data architecture initiatives across the enterprise.
• Evaluate adoption of new data technologies and approaches.
• Develop architectural roadmaps that support unified views of key data.

Skills

Data architecture design

Data governance

Cloud technologies

Data modeling

Insurance data schemas

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Databricks

Snowflake

AWS

Azure

GCP

Job description

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.