Data Engineering Manager

The Manager, Data Platform is responsible for leading and scaling our data platform team in Bangalore. This role is critical to building and maintaining a robust, secure, and scalable data infrastructure that powers our healthcare SaaS solutions. You will collaborate with engineering, product, and analytics teams to ensure data availability, integrity, and performance across the organization.

Leadership & Strategy

• Manage and mentor a team of data engineers, analytics engineers, and platform specialists.
• Define and execute the roadmap for the data platform aligned with business objectives.
• Drive adoption of best practices for data architecture, governance, security, and automation.

Platform Development & Operations

• Lead the end-to-end design, implementation, and maintenance of robust data pipelines, storage solutions, and processing frameworks.
• Drive the creation and deployment of scalable data lakes and advanced analytics platforms to enable enterprise-wide insights.
• Ensure high availability, scalability, and performance of data infrastructure.
• Implement monitoring, alerting, and disaster recovery strategies for data systems.
• Own and drive the resolution of technical debt to support delivery and long-term product health

Collaboration & Stakeholder Management

• Partner with product, engineering and operations teams to support data-driven features and analytics.
• Work closely with compliance teams to ensure adherence to healthcare data regulations (HIPAA, GDPR).

Innovation & Continuous Improvement

• Evaluate emerging technologies and tools to enhance the data platform.
• Optimize cost and performance of cloud-based data solutions.
• Foster a culture of innovation, accountability, and continuous improvement.
• Perform other duties as assigned 

• Bachelor’s or Master’s in Computer Science, Information Technology, or related field.
• 11–14 years of total experience in software engineering including 8+ years in data engineering or platform roles, with at least 3 years in a leadership position.
• Proven experience in building and managing large-scale data platforms in a SaaS environment.
• Expertise in leading cloud platforms (AWS, Azure, or GCP).
• Deep understanding of data warehousing, ETL workflows, and distributed computing architectures.
• Hands-on and proficient in SQL and Python, with expertise in big data technologies such as Spark and Hadoop.
• Extensive experience with modern data technologies and orchestration tools, such as Kafka, Airflow, Snowflake, Databricks, and AWS services.

• Experience working with a distributed development team and demonstrated knowledge of Agile Scrum methodology

• Ability to work well with global teams, including time-zone flexibility 

• Effective, clear, and concise communication skills and the ability to interface with leaders and staff at both an individual and group level 

Desired Skills and Qualifications:

• Familiarity with healthcare IT standards and compliance requirements
• Excellent communication and stakeholder management skills.
• Strong problem-solving and decision-making abilities.
• Passion for building scalable, secure, and innovative data solutions.
• Experience in building self-service analytics platforms.
• Exposure to machine learning pipelines and MLOps.
• Prior experience in a product-led or SaaS company.

The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor.