At Franklin Templeton, we believe success is built through powerful partnerships. As a forward‑thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting‑edge strategies and deep insights to unlock opportunities for long‑term wealth creation. Our talented, global teams bring expertise that is both broad and unique.

From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success.

About the Department:

• Data Engineering function focused on enabling enterprise-wide data platforms, analytics capabilities, and AI-driven insights.

Key focus areas include:

• Data Products & Self-Service Analytics: Empowering business users with accessible, governed, and actionable data products.

• Cloud Lakehouse & Scalable Data Pipelines: Building modern, cloud-native data architectures and reliable pipelines to support enterprise-scale data processing.

• AI/ML & Advanced Analytics Enablement: Providing the data foundations, tools, and frameworks required to accelerate AI, machine learning, and advanced analytics initiatives.

How You Will Add Value?

Core Responsibilities:

Architect Cloud Pipelines:

• You will build production-grade ELT/ETL data pipelines.

• You will develop batch and streaming ingestion solutions.

• You will implement Apache Iceberg and Delta Lake storage formats.

• You will optimize large-scale data transformations.

Ensure Governance & Quality:

• You will implement data quality controls.

• You will support data lineage and governance initiatives.

• You will manage CI/CD pipelines and deployment processes.

Strategic Responsibilities:

• You will deliver trusted and governed data products.

• You will enable self-service analytics capabilities.

• You will support semantic models and curated data layers.

• You will create feature-ready datasets for AI/ML initiatives.

• You will ensure scalable and reproducible data pipelines.

• You will promote modern Lakehouse architecture adoption.

• You will support regulatory and compliance requirements.

Team & Collaboration:

• You will partner with business stakeholders and analytics teams.

• You will collaborate with data scientists and engineers.

• You will translate business needs into scalable solutions.

• You will improve time-to-insight and business outcomes.

AI Fluency & Modern Engineering Productivity:

• You will use AI agents to accelerate software development.

• You will leverage AI for coding, testing, and migrations.

• You will create and refine prompts for complex workflows.

• You will optimize SQL performance using AI tools.

• You will generate technical documentation with AI assistance.

What Will Help You Be Successful in This Role?

Experience, Education & Certifications:

• 3+ years of experience in data engineering.

• Experience building enterprise-scale data platforms.

• Bachelor’s degree in computer science, Engineering, or related discipline.

• Experience with Amazon Web Services (AWS) environments.

Technical Skills:

• Advanced SQL expertise.

• Strong Python and Apache Spark (PySpark) skills.

• Experience with Snowflake and Lakehouse platforms.

• Knowledge of Apache Iceberg and Delta Lake.

• Experience with CI/CD and DevOps practices.

• Understanding of data governance and quality frameworks.

• Experience with Git, Docker, Kubernetes, and Terraform.

Soft Skills:

• Strong communication and stakeholder management skills.

• Effective collaboration across technical and business teams.

• Strong problem-solving and analytical abilities.

• Ability to deliver scalable business-focused solutions.

• Knowledge of investment management data domains is advantageous.

Work Shift Timings - 2:00 PM - 11:00 PM IST

At Franklin Templeton, we believe your benefits should support your life, your goals, and your future. That’s why we offer a comprehensive Total Rewards package designed to help you thrive both personally and professionally.

Highlights of our benefits include:

• Professional development growth opportunities through in-house classes and over 150 Web-based training courses
• An educational assistance program to financially help employees seeking continuing education
• Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents)
• Life insurance for protection of employees’ families
• Personal accident insurance for protection of employees and their families
• Personal loan assistance
• Employee Stock Investment Plan (ESIP)
• 12 weeks Paternity leave
• Onsite fitness center, recreation center, and cafeteria
• Transport facility
• Child day care facility for women employees
• Cricket grounds and gymnasium
• Library
• Health Center with doctor availability
• HDFC ATM on the campus

Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.