Associate Director - Expert - Full Stack Development - IN at TIAA in Pune

Job description

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,