Data Engineering Lead (Insurance)

Location: Charleston, South Carolina, United States; the work model prioritizes in-person collaboration.

Company

hirify.global provides technology services and insurance software and business process solutions that help enterprises modernize mission-critical systems, operations, and insurance processes.

What you will do

• Define the enterprise data engineering strategy, roadmap, standards, and scalable architectures for operational, analytical, and AI workloads.
• Lead the design and implementation of cloud-native data platforms, high-volume batch, streaming, and event-driven pipelines, data lakes, warehouses, lakehouses, and data products.
• Lead and mentor Data Engineers, Data Architects, and Data Integration specialists while providing architecture reviews, technical guidance, recruitment support, and career development.
• Implement data governance, quality, observability, monitoring, remediation, compliance, privacy, retention, and security practices.
• Enable AI, machine learning, advanced analytics, feature engineering, model data preparation, and operationalization of data products.
• Manage concurrent initiatives, delivery plans, resources, risks, dependencies, technical debt, agile execution, and stakeholder communication.

Requirements

• High school diploma or GED is required.
• 10+ years of experience in Data Engineering, Data Architecture, or related technology disciplines, including 3+ years leading technical teams or enterprise-scale data initiatives.
• Demonstrated experience designing and delivering enterprise data platforms and leading cross-functional teams in global delivery environments.
• Strong experience with SQL and advanced database technologies; Python, Spark, Scala, or similar data engineering technologies; and ETL and ELT frameworks.
• Strong experience with Data Lake, Lakehouse, and Data Warehouse architectures; cloud platforms such as Azure, AWS, or Google Cloud; and technologies such as Databricks, Snowflake, Synapse, Redshift, BigQuery, or equivalents.
• Strong experience with real-time data processing, streaming architectures, API-based integration, and event-driven architectures.
• Strong experience with CI/CD, DataOps, Infrastructure-as-Code, and automation practices.
• Leadership capabilities in strategic thinking, technical leadership, decision making, stakeholder management, talent development, executive communication, continuous improvement, customer focus, results orientation, and cross-functional collaboration.

Nice to have

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or Data Science.
• Master’s degree.
• Insurance industry experience.
• Experience supporting AI, machine learning, and generative AI initiatives.
• Experience implementing enterprise data governance programs.
• Success leading large-scale cloud migration or data modernization programs.
• Experience with observability, operational monitoring, and reliability engineering.

Culture & Benefits

• In-person collaboration is prioritized while flexibility is provided to support wellbeing, productivity, individual work styles, and life circumstances.
• Inclusive work environment focused on strong connections and community.
• Equal opportunity employment and disability accommodations are available.
• DXC participates in E-Verify.