Data Engineering Manager

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Overview:

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.

Duties & Responsibilities:

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

Skills Required:

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.

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