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Associate Principal - Data Engineering

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: LTM
Full Time position
Listed on 2026-09-09
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 130000 - 160000 USD Yearly USD 130000.00 160000.00 YEAR
Job Description & How to Apply Below

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
  • 4…
Position Requirements
10+ Years work experience
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