Senior Data Engineer

• 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.

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.

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