Principal Data Engineer

• Senior Director, Data Engineering
• Hybrid – Atlanta, GA or New York, NY

Base Salary: $200,000 – $250,000 + bonus, 401(k) match, comprehensive benefit

• s
• About the Opportuni
• tyA leading global property & casualty insurer is seeking a senior data engineering leader to drive the evolution of its enterprise data environment. This role sits at the intersection of technology and core insurance operations, enabling critical functions such as underwriting, claims, finance, risk, and regulatory reporting through modern, scalable data solution
• s.This individual will play a pivotal role in modernizing a complex data landscape—transitioning fragmented, regionally siloed systems into cohesive, enterprise-grade platforms that deliver timely, accurate, and actionable insight

• s.
• Position Summ
• aryThis role is accountable for defining and executing the strategy for enterprise data engineering, with a focus on building resilient, high-performing data platforms and pipelines. You will lead efforts to streamline data integration, enhance processing capabilities, and elevate data quality standards across the organizati
• on.A key priority will be simplifying legacy environments and enabling more frequent, automated data flows to support financial and actuarial processes, including accelerating close cycles and improving reporting accura

• cy.
• Core Responsibili

• ties
• Enterprise Data Platforms & Integr
• ationLead the design and implementation of scalable data pipelines that unify and standardize data across multiple business do
• mainsDrive consolidation of legacy and regional data stores into centralized, enterprise-wide plat
• formsDevelop and maintain high-performance data warehouses and data marts aligned to business and regulatory
• needsOperational Efficiency & Autom
• ationModernize financial and actuarial data workflows through automation and improved data orchestr
• ationTransition batch-based processes to more frequent or near real-time data processing m
• odelsEnhance the speed and reliability of key reporting cycles, including month-end
• closeData Integrity & Gover
• nanceEstablish robust frameworks for monitoring, validating, and improving data qu
• alityImplement traceability, lineage, and reconciliation processes to ensure transparency and auditab
• ilityPromote best practices in data governance, security, and compl
• iancePlatform Simplification & Transform
• ationEvaluate the current data ecosystem to identify redundancy and ineffic
• iencyLead initiatives to retire outdated systems and migrate to strategic, scalable plat
• formsStakeholder Partne
• rshipWork closely with business leaders and technical teams to translate requirements into impactful data solu
• tionsEnsure alignment between engineering delivery and business prior
• itiesSupport adoption of new tools, platforms, and processes across the organiz
• ationLeadership & Team Develo
• pmentBuild and lead a distributed team of data engineers, fostering technical excellence and domain expe
• rtiseDevelop team capabilities across modern data technologies and insurance data mod
• elingCreate a culture of accountability, innovation, and continuous improv
• ementArchitecture & Stan
• dardsCollaborate with enterprise architecture teams to ensure alignment with broader technology stan
• dardsEnforce best practices in system design, performance, and data security (including sensitive data hand
• ling)Performance & Risk Manag
• ementDefine and track KPIs to measure platform performance and delivery effectiv
• enessIdentify risks and implement controls to ensure stability and scalability of data solu
• tionsQualifications & Exper
• ience12+ years of experience in data engineering, data platforms, or data integration, with at least 5 years in leadership
• rolesProven success delivering large-scale data transformation initiatives, including system consolidation and migr
• ationDeep experience within the insurance industry, particularly across financial, actuarial, and operational data do
• mainsStrong expertise in SQL and enterprise data tools (e.g., Informatica, SSIS) as well as modern cloud-based platforms (e.g., Databricks, Azure-based ecosys
• tems)Experience building and optimizing data pipelines, warehouses, and data models at
• scaleDemonstrated ability to implement data quality, validation, and reconciliation frame
• worksStrong understanding of insurance systems and data structures (policy, claims, finance, reinsur
• ance)Track record of building and leading high-performing technical

• teams
• Edu
• cationBachelor’s degree in Computer Science, Information Systems, or a related field re
• quiredAdvanced degree pre

• ferred
• Add
• itionalRelevant certifications in cloud platforms or data engineering are

a plus