Chief Data Engineer: Cloud Platform & AI Lead

CACI International Inc; Washington (District of Columbia); On-site; USD 115,000 - 252,000; Full time

Job summary

CACI International Inc. seeks a Chief Data Engineer to lead the design and delivery of an enterprise data platform in secure Azure Government environments.

You will architect cloud-based pipelines, drive data integration across DHS-related sources, and oversee a team of data engineers to deliver scalable, governed data assets. The role emphasizes data quality, security, governance, and enabling AI workloads through lakehouse architectures and Delta Sharing.

Qualifications

• Bachelor's degree plus 15 years in data engineering, data architecture, software engineering, or related field (Master's +12, 21 with no degree).
• Proven leadership in delivering enterprise-scale data integration and ETL/ELT solutions.
• Deep expertise with Azure data services or equivalent cloud platforms (AWS/GCP).
• Hands-on data pipeline development using Python, SQL, PySpark; knowledge of lakehouse and Delta Lake.

Responsibilities

• Lead design, development, testing, and deployment of enterprise data ingestion and transformation pipelines.
• Oversee migration from legacy ETL platforms to cloud-native data integration solutions (Azure Databricks, Data Factory).
• Architect scalable data integration patterns with batch, streaming, and metadata-driven pipelines.

Skills

Leadership

Cloud data engineering

Python

SQL

PySpark

Data modeling

Data quality

Pipeline architecture

Governance

Education

Bachelor's degree + 15 years experience in data engineering/architecture

Tools

Azure Data Factory

Azure Databricks

Azure Data Lake

Azure Synapse

Delta Lake

Informatica PowerCenter

Informatica Data Quality

Python

SQL

PySpark

Job description

CACI International Inc. seeks a Chief Data Engineer to lead the design and delivery of an enterprise data platform in secure Azure Government environments.

You will architect cloud-based pipelines, drive data integration across DHS-related sources, and oversee a team of data engineers to deliver scalable, governed data assets. The role emphasizes data quality, security, governance, and enabling AI workloads through lakehouse architectures and Delta Sharing.