DT
Listed on DXC Technology’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead a global team of data engineers responsible for designing and operating cloud-native data platforms that power business intelligence, AI, and analytics across the insurance sector. This role suits experienced data architects and engineering managers who want to shape enterprise data strategy while mentoring technical talent in a large organization.
Our summary, not DXC Technology’s wording. The full posting is on their site.
Skills this role names
- Amazon Redshift
- Amazon Web Services (AWS)
- CI/CD
- Data Lakes
- Data Warehouse
- Databricks
- ETL
- Google BigQuery
- Google Cloud
- Infrastructure as Code
- Live Streaming
- Microsoft Azure
- Python
- Scala
- Snowflake
- SPARK
- SQL
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What they ask for
Required
- 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
- Demonstrated experience designing and delivering enterprise data platforms
- Leadership of cross-functional teams in global delivery environments
- Strong experience with SQL and advanced database technologies
- Strong experience with Python, Spark, Scala, or similar data engineering technologies
- Strong experience with ETL and ELT frameworks
- Strong experience with Data Lakes, Lakehouse, and Data Warehouse architectures
- Strong experience with cloud platforms (Azure, AWS, or Google Cloud)
- Strong experience with Databricks, Snowflake, Synapse, Redshift, BigQuery, or equivalent technologies
- Strong experience with real-time data processing and streaming architectures
- Strong experience with API-based integration and event-driven architectures
- Strong experience with CI/CD, DataOps, Infrastructure-as-Code, and automation practices
Nice to have
- 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