Sr. Staff Data Engineer

NextGen Healthcare India; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

The Sr. Staff Data Engineer at NextGen Healthcare India provides architectural leadership across multiple data domains and drives enterprise-scale data platforms that support analytics and AI/ML systems.

You will define standards, influence strategy, and lead large cross-functional initiatives to enable scalable data capabilities. Responsibilities include steering data lakehouse, streaming and batch processing architectures, mentoring engineers, ensuring regulatory adherence, and partnering with

Qualifications

• Bachelor’s degree in Computer Science, Data Science, AI or related field.
• 10+ years designing and scaling enterprise data platforms with cross-team leadership.

Responsibilities

• Define and drive architecture standards for data lakehouse, streaming and batch processing systems.
• Lead cross-team design and delivery of complex data platform initiatives.
• Establish best practices for data modeling, pipeline orchestration, and platform scalability.
• Serve as technical escalation point for high-complexity data challenges.
• Drive platform reliability, cost optimization and operational excellence.
• Partner with security, compliance and governance teams to ensure regulatory adherence.
• Mentor senior engineers and shape engineering best practices across teams.
• Evaluate emerging technologies and recommend strategic adoption.
• Perform other duties that support the overall objective of the position.

Skills

Data architecture

Cross-team leadership

Cloud-native design

Infrastructure as Code

Healthcare compliance

Education

Bachelor’s degree in Computer Science / Data Science / AI or related field

Job description

The Sr. Staff Data Engineer provides architectural leadership across multiple data domains and drives the design of enterprise-scale data platforms supporting analytics and AI/ML systems. This role defines standards, influences strategy, and leads large cross-functional initiatives.

• Define and drive architecture standards for data lakehouse, streaming, and batch processing systems.
• Lead cross-team design and delivery of complex data platform initiatives.
• Establish best practices for data modeling, pipeline orchestration, and platform scalability.
• Serve as technical escalation point for high-complexity data challenges.
• Drive platform reliability, cost optimization, and operational excellence.
• Partner with security, compliance, and governance teams to ensure regulatory adherence.
• Mentor senior engineers and shape engineering best practices across teams.
• Evaluate emerging technologies and recommend strategic adoption.
• Perform other duties that support the overall objective of the position.

Education Required

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
• Or, any combination of education and experience that would provide the required qualifications for the position.

Experience Required

• 10+ years of experience designing and scaling enterprise data platforms, including demonstrated leadership of cross-team initiatives.

Knowledge, Skills & Abilities

• Knowledge of: Enterprise data platform architecture. Streaming and distributed processing systems. Infrastructure-as-code and cloud-native design. Healthcare regulatory environments.
• Skill in: Large-scale system architecture design. Strategic technical decision-making. Cross-team technical leadership. Evaluating and modernizing platform capabilities.
• Ability to: Influence engineering direction without direct authority. Lead enterprise-scale technical initiatives. Translate business strategy into scalable data architecture.