Associate Director - Full Stack Development

Expert - Full Stack Development - IN
Full Stack Development are involved in full stack development and implement end-to-end components of custom applications. Their job involves designing and developing the UI, business logic, data & integration layer along with testing and maintenance of these layers.
Key Responsibilities And Duties
They are adept in the use of tools and technologies across tiers, and are proficient in working with systems infrastructure, creating, querying & manipulating databases, APIs and integration, Front-end code (HTML/CSS, bootstrap, React JS, Angular JS) and web stack back-end technologies (PHP, Python, Java, ruby on rails etc.).
They have a sound understanding of CI/CD processes, agile development.
They possess deep understanding of programming fundamentals and can learn new frameworks, languages and tools as required on projects.
Educational Requirements
University (Degree) Preferred
Work Experience
10+ Years Required
Physical Requirements
Physical Requirements: Sedentary Work
Career Level
9IC
Associate Director - AWS, Python & Snowflake Developer
Experience Required
10+ years of relevant technology experience, with substantial hands-on engineering work in cloud data platforms
Role Overview
We are seeking an experienced and hands-on Associate Director to join our team who continues to write code and build solutions. This role requires deep, practical expertise in AWS, Python, and Snowflake, with a strong emphasis on Snowpark development, serverless architectures, and orchestrated data pipelines. The ideal candidate combines senior-level technical depth with the ability to guide architecture decisions and mentor engineering teams.
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.
Snowflake & Snowpark
Demonstrated experience building and deploying Snowpark stored procedures, working with Snowflake's data engineering capabilities, writing efficient SQL, and optimizing Snowflake warehouses and query performance for large-scale datasets.
AWS Cloud Services
Practical, Hands-on Experience With:
AWS Lambda for serverless compute and event-driven processing
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.
Secondary Skills (Good to Have)
Version control proficiency with Git, including branching strategies, pull request workflows, and CI/CD integration
Familiarity with additional AWS services such as Glue, Step Functions, CloudWatch, IAM, ECS/EKS, or SNS/SQS
Experience with infrastructure-as-code tools (Terraform, CloudFormation)
Exposure to containerization (Docker) and deployment pipelines
Understanding of data governance, security, and compliance practices in cloud environments
Domain Knowledge
Prior exposure to or working knowledge of the asset management/Investment banking or broader financial services industry is a strong plus. Familiarity with investment data concepts, portfolio management systems, or regulatory reporting requirements in this space would be beneficial.
Key Responsibilities:
Design, develop, and maintain scalable data engineering solutions using Python, Snowflake, and AWS services
Build and optimize Snowpark stored procedures for complex data transformations
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)
10+ years of overall technology experience, with significant time spent in hands-on data engineering roles
Proven track record of delivering production-grade solutions in Python and Snowflake environments
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
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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 Obsessed, Lead with Integrity, Own It, and Win As One. They influence every decision we make and how we work together to serve our clients every day. We thrive in a collaborative in-office environment where teams work across organizational boundaries with shared purpose, accelerating innovation and delivering meaningful results. Our workplace brings together TIAA and Nuveen's entrepreneurial spirit, where we work hard and work together to create lasting impact. Here, every associate can grow through meaningful learning experiences and development pathways—because when our people succeed, our impact on clients' lives grows stronger.
Accessibility Support
TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities.
If You Are a U.S. Applicant And Desire a Reasonable Accommodation To Complete a Job Application Please Use One Of The Below Options To Contact Our Accessibility Support Team:
Phone: (800) 842-2755
Email: accessibility.support@tiaa.org
Privacy Notices
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For Applicants of TIAA, Nuveen and Affiliates residing in California, please click here.
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Associate Director - AWS, Python & Snowflake Developer
Qualifications:
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)
10+ years of overall technology experience, with significant time spent in hands-on data engineering roles
Proven track record of delivering production-grade solutions in Python and Snowflake environments
Strong problem-solving skills and ability to work independently in ambiguous or evolving requirements
Excellent communication skills, with experience presenting technical

Work arrangement
No