Lead Data Architect - AWS for Financial Data Platforms

Digital iTechnology; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

Digital iTechnology in Atlanta seeks an experienced Data Architect to lead end-to-end data platform design on AWS, with hands-on delivery of pipelines using Python, PySpark, Spark, Glue, S3, and Airflow. You will partner with finance and risk teams to ensure accurate, auditable data and compliant governance.

You'll mentor engineers, define data models, optimize costs, and ensure scalable, secure architectures across ingestion, storage, and consumption layers in a production environment.

Qualifications

• 9+ years of experience in data engineering, data warehousing, or big data technologies.

Responsibilities

• Design end-to-end data architectures on AWS for ingestion, transformation, storage and consumption.
• Define data modeling standards including dimensional modeling, data lakes, lakehouse architecture, partitioning and file formats.
• Establish architectural standards, evaluate technologies, and document design decisions.
• Mentor data engineers and lead production troubleshooting, performance optimization, and root cause analysis.
• Collaborate with finance, risk, and compliance stakeholders to translate requirements into technical solutions.

Skills

Python

PySpark

Apache Spark

SQL

Airflow

AWS Glue

S3

IAM

Tools

AWS Glue

Lambda

Airflow

Git

CI/CD

Terraform

CloudFormation

Job description

Digital iTechnology in Atlanta seeks an experienced Data Architect to lead end-to-end data platform design on AWS, with hands-on delivery of pipelines using Python, PySpark, Spark, Glue, S3, and Airflow. You will partner with finance and risk teams to ensure accurate, auditable data and compliant governance.

You'll mentor engineers, define data models, optimize costs, and ensure scalable, secure architectures across ingestion, storage, and consumption layers in a production environment.