Cloud Data Platform Lead | Senior Data Engineer

Barclays; Kentucky; On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) plan with company match

Life insurance

Job summary

Barclays is seeking aDelivery Lead/Senior Data Engineer to build cloud-native, data-driven platforms powering analytics, AI, and smarter banking outcomes. You’ll work with AWS technologies to design scalable, secure solutions and modernize Barclays’ data landscape.

The role focuses on data architecture standards, modeling, and platform governance across multiple teams, including guidance on performance optimization and enterprise risk controls.

Qualifications

• Experience shaping enterprise data architecture strategies.
• Strong AWS data platform knowledge and design skills.
• Proficient in Python, PySpark, SQL for analytics engineering.
• Ability to guide governance, security, and data quality practices.

Responsibilities

• Build and maintain data pipelines, warehouses, and lakes.
• Design scalable data stores with security and governance.
• Develop analytics algorithms for large data volumes.
• Collaborate with Data Science to deploy ML models.

Skills

Data architecture

Cloud computing

Python

PySpark

SQL

Data governance

ML collaboration

Risk & controls

Tools

AWS Glue

AWS Lambda

AWS S3

AWS Redshift

AWS Athena

Databricks

Jenkins

GitLab

Immuta

DBT

Data Build Tool

Job description

Barclays is seeking aDelivery Lead/Senior Data Engineer to build cloud-native, data-driven platforms powering analytics, AI, and smarter banking outcomes. You’ll work with AWS technologies to design scalable, secure solutions and modernize Barclays’ data landscape.

The role focuses on data architecture standards, modeling, and platform governance across multiple teams, including guidance on performance optimization and enterprise risk controls.