Csc Holdings LLC

Csc Holdings LLC

Data Engineering Lead

USA - SC - CHARLESTON

Sponsorship not specifiedDetected 96 days ago
PythonScalaSQLBigQuerySnowflakeRedshiftDatabricksAWSGCPAzureCloud PlatformsCI/CDPlatform EngineeringMachine LearningSparkData EngineeringData ScienceLLMsAgileStakeholder ManagementPerformance ManagementLeadershipCommunicationCollaboration

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About the role

  • The 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.

Responsibilities

  • Define and drive the enterprise data engineering strategy and roadmap.
  • Design scalable data architectures supporting operational, analytical, and AI workloads.
  • Lead modernization efforts from legacy data environments to cloud-native data platforms.
  • Lead 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.
  • Drive platform automation through Infrastructure-as-Code and DataOps practices.
  • Lead and mentor a team of Data Engineers, Data Architects, and Data Integration specialists.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field.
  • 10+ years of experience in Data Engineering, Data Architecture, or related technology disciplines.
  • 3+ years leading technical teams or enterprise-scale data initiatives.
  • Experience leading cross-functional teams in global delivery environments.
  • Technical Expertise
  • Strong experience in multiple areas including:

Nice to have

  • Insurance industry experience.
  • Experience implementing enterprise data governance programs.
  • Success leading large-scale cloud migration or data modernization programs.
  • Experience with observability, operational monitoring, and reliability engineering.
  • Strategic Thinking
  • Technical Leadership
  • Stakeholder Management
  • Talent Development

Skills

  • SQL and advanced database technologies
  • Python, Spark, Scala, or similar data engineering technologies
  • Cloud platforms (Azure, AWS, or Google Cloud)
  • Databricks, Snowflake, Synapse, Redshift, BigQuery, or equivalent technologies

Company info

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Visa & Work Authorization

  • sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law
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