Associate Director – Full Stack Development

TIAA

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

Posted 10/11/2026full-timePune • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in designing and developing scalable data engineering solutions using Python, Snowflake, and AWS services, while providing technical leadership and mentoring to engineering teams. Proficient in building production-grade applications and managing data pipeline orchestration with a strong focus on coding standards and best practices.

Highest-signal resume keywords

Python ProgrammingSnowflake and SnowparkAWS Lambda and Amazon S3DAG Design and OrchestrationGit Proficiency

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringSQLStored ProceduresProduction-Grade ApplicationsDAG ManagementTerraformCloudFormationDockerData GovernanceCompliance Practices

Soft Skills

Problem-SolvingCommunicationMentoring

Tools & Technologies

AWS ServicesApache AirflowGitAWS GlueCloudWatchIAMECS/EKSSNS/SQS

Industry Keywords

Asset ManagementInvestment BankingFinancial Services

Tech Stack

Tools & technologies

AirflowApacheAWSCloudDockerPythonSQLTerraform

About the role

Key responsibilities & impact

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 using 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 hands-on
Collaborate with data analysts, business stakeholders, and platform engineering
Establish and enforce coding standards, best practices, and code review processes
Mentor junior and mid-level engineers
Troubleshoot and resolve production issues to ensure high availability and performance
Contribute to technical roadmap planning and platform modernization initiatives

Requirements

What you’ll need

10+ years of relevant technology experience
10+ years of overall technology experience with significant hands-on data engineering experience
Strong hands-on Python programming experience
Experience building production-grade data processing applications
Experience with Snowflake and Snowpark, including stored procedures, SQL, warehouse optimization, and query performance
Hands-on experience with AWS Lambda and Amazon S3
Experience designing, building, and maintaining DAGs using Apache Airflow or equivalent orchestration frameworks
Git proficiency, including branching strategies, pull request workflows, and CI/CD integration
Familiarity with AWS Glue, Step Functions, CloudWatch, IAM, ECS/EKS, or SNS/SQS
Experience with Terraform or CloudFormation
Exposure to Docker and deployment pipelines
Understanding of data governance, security, and compliance practices in cloud environments
Prior asset management, investment banking, or financial services exposure is a strong plus
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience
Proven track record delivering production-grade solutions in Python and Snowflake environments
Strong problem-solving skills
Excellent communication skills and experience presenting technical solutions to technical and non-technical stakeholders
University degree preferred

Benefits

Comp & perks

Equal Opportunity Employer
Accessibility support for applicants who need assistance with the online application process
Future-focused skills and AI tools
Meaningful learning experiences and development pathways
Collaborative in-office work environment