About this role
Data Engineering Lead
ApplylocationsUSA - SC - CHARLESTONtime typeFull timeposted onPosted 2 Days Agojob requisition id51585342
Job Description:DXC Technology is a leading global technology services provider helping the world's largest enterprises and public sector organizations modernize mission-critical systems, optimize operations, and accelerate innovation through AI, cloud, security, and enterprise technology solutions.Our Insurance Software and Business Process Solutions (ISB) organization partners with insurers worldwide to transform and manage core insurance operations. By combining deep insurance expertise, market-leading software platforms, and AI-powered solutions, we help clients modernize policy administration, claims, billing, underwriting, and digital engagement across Life & Annuity, Property & Casualty, and Specialty Insurance.Position SummaryThe Data Engineering Lead is responsible for the design, development, governance, and operational excellence of enterprise data platforms, pipelines, and analytics capabilities. This role provides technical leadership for data engineering initiatives while managing a team of engineers responsible for delivering scalable, secure, and reliable data solutions that support business intelligence, AI, machine learning, operational reporting, and digital transformation programs.The successful candidate combines deep technical expertise with leadership skills to establish enterprise data standards, drive modernization initiatives, implement cloud-native data architectures, and ensure data is treated as a strategic business asset. This individual will partner closely with product management, application engineering, cloud operations, architecture, security, and business leaders to deliver measurable business outcomes.Key ResponsibilitiesData Strategy & ArchitectureDefine and drive the enterprise data engineering strategy and roadmap.Design scalable data architectures supporting operational, analytical, and AI workloads.Establish standards for data modeling, data integration, metadata management, and data lifecycle management.Lead modernization efforts from legacy data environments to cloud-native data platforms.Ensure alignment with enterprise architecture, cybersecurity, and compliance requirements.Data Platform EngineeringLead the design and implementation of enterprise data platforms utilizing cloud technologies and modern data architectures.Develop and maintain high-volume batch, streaming, and event-driven data pipelines.Build and manage data lakes, data warehouses, lakehouse architectures, and data products.Establish reusable frameworks and accelerators that improve engineering velocity and solution consistency.Drive platform automation throu