Lead Data Platform Architect for AI & Cloud

DXC Technology Company

United States

Remote

USD 140,000 - 210,000

Full time

6 days ago
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Job summary

DXC Technology Company is seeking a Lead Data Engineering Architect for Insurance to drive enterprise data strategy and cloud-native platforms. You will oversee data engineers and architects, shape data governance, and enable AI/ML initiatives across Life & Annuity, P&C, and specialty lines.

You will collaborate with product management, security, and business leaders to deliver scalable, reliable data solutions, emphasizing governance, security, and operational excellence.

Qualifications

  • BS in Computer Science, Information Systems, Engineering, or related field.
  • MS degree preferred for advanced roles.
  • 10+ years in Data Engineering/Architecture or related tech.
  • 3+ years leading technical teams or large data initiatives.
  • Experience delivering enterprise data platforms and cloud migrations.

Responsibilities

  • Define and drive enterprise data strategy and roadmap.
  • Lead design of scalable data architectures supporting analytical, operational, and AI workloads.
  • Guide data governance, metadata, and data quality initiatives.
  • Lead cloud-native data platform engineering and automation (IaC, DataOps).
  • Mentor teams of Data Engineers and Data Architects; drive best practices.

Skills

SQL
Python
Data Lake
Streaming
Spark
ETL/ELT
CI/CD

Education

Bachelor's degree in CS/Engineering/Data Science
Master's degree preferred

Tools

Databricks
Snowflake
Synapse
Redshift
BigQuery
Airflow

Job description

DXC Technology Company is seeking a Lead Data Engineering Architect for Insurance to drive enterprise data strategy and cloud-native platforms. You will oversee data engineers and architects, shape data governance, and enable AI/ML initiatives across Life & Annuity, P&C, and specialty lines.

You will collaborate with product management, security, and business leaders to deliver scalable, reliable data solutions, emphasizing governance, security, and operational excellence.

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