CareerPlanGet AI match score →

Data Engineering Lead

USA - SC - CHARLESTON💼 Full-time🗓 2026-07-17 → 2026-07-31

Core

Design, develop, govern, and operate enterprise data platforms, pipelines, and analytics capabilities to support business intelligence, AI, and digital transformation for global insurance clients.

Role type

Senior IC Data Engineering Lead with team management

Builds

Scalable cloud-native data platforms, data lakes/warehouses, and high-volume batch/streaming pipelines

Domain

Insurance / Enterprise Data Engineering

Deliverable

production ML models | product features | dashboards & analysis | infrastructure

Required skills

Enterprise data strategy, cloud-native architecture, data modeling, ETL/ELT frameworks, data governance, team leadership, project management

Preferred skills

Insurance domain expertise, AI/ML enablement, observability, large-scale cloud migration

Technologies

Azure, AWS, Google Cloud, Databricks, Snowflake, Synapse, Redshift, BigQuery, Spark, Scala, Python, SQL

Responsibilities

Define enterprise data engineering strategy and roadmap; Design scalable data architectures for operational and AI workloads; Lead and mentor a team of data engineers and architects; Implement data governance and quality frameworks; Manage delivery of concurrent data engineering initiatives

Seniority

Senior, hands-on IC with leadership

Sourced via workday · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Workday ↗