Senior Data Platform Architect for Cloud & AI

DXC Technology Company

New York (NY)

Hybrid

USD 180,000 - 240,000

Full time

12 days ago

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Job summary

DXC Technology is seeking a Data Engineering Lead to design, govern, and operate enterprise data platforms supporting BI, AI, and analytics initiatives. You will lead a team of engineers, set data standards, and drive modernization across cloud-native architectures while partnering with product, security, and business leaders.

The role emphasizes data as a strategic asset, driving measurable business outcomes and ensuring compliance, scalability, and operational excellence across global delivery

Qualifications

  • Experience designing and delivering enterprise data platforms.
  • 10+ years in Data Engineering or related tech disciplines.
  • 3+ years leading technical teams or large data initiatives.
  • Experience with cloud data architectures and governance.
  • Strong collaboration with product, security, and leaders.

Responsibilities

  • Define enterprise data strategy and roadmaps for engineering.
  • Lead data platform design, pipelines, and governance.
  • Mentor Data Engineers, Architects, and integration specialists.
  • Drive DataOps, IaC, and automation for reliable delivery.
  • Partner with stakeholders to align data investments with business goals.

Skills

SQL
Python
Spark
ETL/ELT
Data Lakes
Data Warehouses
Cloud (Azure/AWS)

Education

High school diploma or GED
Bachelor's degree in CS/IS/Engineering
Master's degree preferred

Tools

Databricks
Snowflake
Synapse
Redshift
BigQuery
CI/CD
IaC

Job description

DXC Technology is seeking a Data Engineering Lead to design, govern, and operate enterprise data platforms supporting BI, AI, and analytics initiatives. You will lead a team of engineers, set data standards, and drive modernization across cloud-native architectures while partnering with product, security, and business leaders.

The role emphasizes data as a strategic asset, driving measurable business outcomes and ensuring compliance, scalability, and operational excellence across global delivery

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