Lead Software Engineer

Join Deloitte as a Lead Software Engineer, where you will design, build, and support Amazon Web Services (AWS) cloud and data-engineering solutions that help modernize client platforms. You will develop scalable application and data-processing capabilities, integrate data across systems, and contribute to reliable production operations. This role offers the opportunity to work across cloud migration, data engineering, and legacy-modernization initiatives in a client-focused delivery environment.

Work you'll do

As a Lead Software Engineer (Software Engineer III) on the AI & Engineering team, you will be responsible for:

• Design and build Python applications and PySpark workloads that process, transform, and validate data in AWS environments.
• Develop, test, and maintain extract, transform, and load (ETL) pipelines using AWS Glue and Amazon S3 to support data ingestion, reconciliation, and audit requirements.
• Provision and maintain AWS resources through AWS CloudFormation, including configurations for storage, identity and access management, compute, analytics, messaging, and workflow services.
• Integrate application programming interfaces (APIs), databases, and source systems into application and data-processing workflows.
• Perform code reviews, support deployment and release activities, troubleshoot production issues, and document technical designs and operational procedures.

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

The Team

AI & Engineering brings together engineering capabilities to build, deploy, and operate integrated, sector-focused solutions across software, data, artificial intelligence, networks, and hybrid cloud infrastructure. Our teams help clients modernize technology and data platforms, improve mission-critical operations, and create business value through scalable engineering solutions. We tailor our delivery approach to each client's priorities, operating environment, and transformation goals.

Qualifications

Required:

• Bachelor's degree or equivalent experience
• 7+ years' experience developing Python applications and PySpark workloads for distributed data processing.
• 5+ years' experience designing, building, or maintaining ETL data pipelines using AWS Glue, Amazon S3, and Structured Query Language (SQL).
• Experience provisioning AWS infrastructure using AWS CloudFormation.
• Experience integrating APIs, relational databases, or NoSQL databases with application or data-processing workflows.
• Experience working in the Financial Services/Investment Management industry.
• Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.

Preferred:

• Experience modernizing batch-processing or mainframe workloads to AWS-based applications or data platforms.
• Experience using Amazon Athena, AWS Step Functions, Amazon DynamoDB, Amazon Relational Database Service (Amazon RDS), or Amazon Aurora.
• Experience using IBM Db2, stored procedures, and SQL to support application or data-processing workflows.
• Experience using Git-based source control and continuous integration and continuous delivery (CI/CD) tooling.