Associate Director - Expert - Full Stack Development - IN

Expert - Full Stack Development - IN

Full Stack Development are involved in full stack development and implement end-to-end components of custom applications.

We are seeking an experienced and hands-on Associate Director to join our data engineering team as a technical lead who continues to write code and build solutions, not just manage. This role requires deep, practical expertise in AWS, Python with a strong emphasis on supporting the quant modeling team, understanding fixed income data. The ideal candidate combines senior-level technical depth with the ability to recommend architecture decisions and mentor engineering teams.

Key Responsibilities and Duties

• Understand fixed income quant statistical models and implement solutions as per business needs.

• Design, develop, and maintain scalable data engineering solutions using Python, and AWS services.

• Develop serverless applications leveraging AWS Lambda integrated with S3 and other AWS services.- Familiarity with data modeling concepts, SQL performance tuning. Experience with databases (SQL Server experience is a plus).

• Design and manage DAG-based orchestration for end-to-end data pipeline execution.

• Provide technical leadership and architectural guidance while remaining actively engaged in hands-on development.

• Collaborate with cross-functional teams including data analysts, business stakeholders, and platform engineering.

• Establish and enforce coding standards, best practices, and code review processes.- Mentor junior and mid-level engineers, fostering technical growth within the team.

• Troubleshoot and resolve production issues, ensuring high availability and performance of data pipelines.

• Contribute to technical roadmap planning and platform modernization initiatives..

Educational Requirements

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience) with 12+ years of overall technology experience, with significant time spent in hands-on engineering roles

Work Experience

• 12+ Years Required;

• Prior exposure to or working knowledge of the asset management or broader financial services industry is a strong plus.

• Familiarity with Fixed Income investment data concepts, quant strategies, quant modelling, portfolio management systems would be beneficial.

• Proven track record of delivering production-grade solutions in Python/ AWS environments.

• Knowledge of the Fixed Income investment domain.

• Strong problem-solving skills and ability to work independently in ambiguous or evolving requirements.

• Excellent communication skills, with experience presenting technical solutions to both technical and non-technical stakeholders

Physical Requirements

• Physical Requirements: Sedentary Work

• Career Level

9IC

## Must-Have Skills (Core Requirements)

**Python Development**

Strong hands-on programming experience in Python, including building production-grade data processing applications, writing efficient and maintainable code, and working with common libraries used in data engineering workflows.

**AWS Cloud Services**

Practical, hands-on experience with:

• AWS EC2, Lambda compute engines and event-driven processing.

• Serverless architecture.

• Amazon S3 for data storage, lifecycle management, and integration with downstream pipelines

• General familiarity with the AWS ecosystem to support cross-service integrations.

**Workflow Orchestration**

Experience designing, building, and maintaining DAGs (using tools such as Apache Airflow or equivalent orchestration frameworks) to manage complex, multi-step data pipelines with dependencies, scheduling, and failure handling.

**Data engineering**

• Familiarity with data modeling concepts, SQL performance tuning.

• Experience with databases (SQL Server experience is a plus).

## Domain Knowledge (Preferred)

Prior exposure to or working knowledge of the asset management or broader financial services industry is a strong plus.

Familiarity with Fixed Income investment data concepts, quant strategies, quant modelling, portfolio management systems would be beneficial.

## Secondary Skills (Good to Have)

• Version control proficiency with Git and CI/CD integration.

• Experience with UI frameworks (such as, React) and API frameworks (such as, Kong API).

• Familiarity with application security.

• Experience with infrastructure-as-code tools (Terraform, CloudFormation).

• Familiarity with containerization (Docker) and deployment pipelines.

• Understanding of data governance, security, and compliance practices in cloud environments.

## Key Responsibilities

• Understand fixed income quant statistical models and implement solutions as per business needs.

• Design, develop, and maintain scalable data engineering solutions using Python, and AWS services.

• Develop serverless applications leveraging AWS Lambda integrated with S3 and other AWS services.

• Design and manage DAG-based orchestration for end-to-end data pipeline execution.

• Provide technical leadership and architectural guidance while remaining actively engaged in hands-on development.

• Collaborate with cross-functional teams including data analysts, business stakeholders, and platform engineering.

• Establish and enforce coding standards, best practices, and code review processes.

• Mentor junior and mid-level engineers, fostering technical growth within the team.

• Troubleshoot and resolve production issues, ensuring high availability and performance of data pipelines.

• Contribute to technical roadmap planning and platform modernization initiatives.

## Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)

• 12+ years of overall technology experience, with significant time spent in hands-on engineering roles.

• Proven track record of delivering production-grade solutions in Python/ AWS environments.

• Knowledge of the Fixed Income investment domain.

• Strong problem-solving skills and ability to work independently in ambiguous or evolving requirements

• Excellent communication skills, with experience presenting technical solutions to both technical and non-technical stakeholders

Related Skills

Agile Methodology, Continuous Integration and Deployment, Data Analysis, Debugging, DevOps, Enterprise Application Integration, Operating Systems Management, Problem Solving, Programming, Software Development, Software Development Life Cycle, Web Application Development _____________________________________________________________________________________________________

Company Overview

TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space.

Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.

We are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status.

Our Culture of Impact

At TIAA, we're on a mission to build on our 100+ year legacy of delivering for our clients while evolving to meet tomorrow's challenges. We equip our associates with future-focused skills and AI tools that enable us to advance our mission. Together, we are fighting to ensure a more secure financial future for all and for generations to come. We are guided by our values: Champion Our People, Be Client