Sr Data Engineer

Job description

About the Department Lexington Partners, part of Franklin Templeton, is a global leader in secondary private equity and co-investment funds. The Data & AI team enables business growth by building trusted data platforms, analytics capabilities, and AI-ready solutions that support informed decision-making across the organization. Team members work closely with U.S.-based colleagues, business leaders, and technology partners to deliver scalable, modern, and high-quality data solutions.

Joining the team offers the opportunity to work with leading cloud technologies, enterprise data platforms, automation, analytics, and emerging AI initiatives while contributing to business-critical outcomes. How You Will Add Value?

Core Responsibilities

You will design and deliver scalable enterprise data solutions. You will create and maintain enterprise data models. You will develop Snowflake data warehouse solutions. You will build and optimize ETL/ELT pipelines. You will develop Apache Airflow workflows. You will support master data management programs. You will deliver reporting, dashboarding, and analytics solutions.

Engineering & Continuous Improvement

You will implement automation and CI/CD best practices. You will establish and maintain data quality standards. You will use GitHub to support controlled software delivery. You will improve platform performance and reliability. You will simplify workflows and reduce operational risk. You will evaluate and adopt valuable new technologies.

Team & Collaboration

You will partner with stakeholders to understand business needs. You will transform requirements into practical data solutions. You will communicate technical decisions and risks effectively. You will collaborate across Hyderabad and U.S.-based teams. You will mentor engineers through reviews and knowledge sharing. You will promote a culture of ownership and collaboration. What Will Help You Be Successful in This Role?

Experience, Education & Certifications

Bachelor’s or Master’s degree in a relevant technical discipline. 7+ years of data engineering experience. Experience building enterprise-scale data platforms. Strong Snowflake implementation experience. Experience with Apache Airflow orchestration. Experience working with cloud data platforms. Experience delivering business intelligence solutions.

Technical Skills

Advanced SQL expertise. Enterprise data modeling capabilities. ETL/ELT design and development experience. Strong Python programming skills. Snowflake optimization and performance tuning knowledge. CI/CD and GitHub proficiency. Modern cloud architecture knowledge.

Soft Skills

Strong analytical thinking and problem-solving abilities. Excellent communication and stakeholder management skills. Strong collaboration and teamwork capabilities. Proactive and results-oriented mindset. Ability to manage competing priorities. Strong ownership and accountability. Focus on quality, reliability, and continuous improvement. Work Shift Timings - 2:00 PM - 11:00 PM IST