Lead Data Pipeline Architect

1 day ago

Hyderabad, Telangana, India beBeeDataEngineer Full time ₹ 1,00,00,000 - ₹ 1,20,00,000

About us:

We're a leading provider of personalized digital solutions for healthier food choices, driving lasting behavior change and delivering long-term health outcomes.

We guide individuals on a tailored journey to eating well while saving time and money through our platform.

Our platform integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family.

We partner with national and regional retailers across the U.S., making healthier food more accessible.

We are committed to making nutritious food accessible and affordable for everyone, regardless of economic status.

We prioritize a set of core values that shape our culture and work environment: Measured, Impactful, Collaborative, Hungry, and Joyful.

We offer a supportive team environment passionate about improving public health.

| About the role:

The Senior Data Engineer is crucial in constructing and optimizing our data pipeline architecture, collaborating closely with data scientists and analysts to facilitate data-related functionalities.

This role is pivotal in designing, building, and maintaining highly scalable data pipelines, optimizing data delivery, and automating data processes.

You will lead the optimization and scalability of data delivery pipelines, ensure performance and reliability for cross-functional stakeholders, architect, build, and maintain robust, high-throughput data pipelines and infrastructure, and establish best practices for data quality, governance, security, and compliance.

Key responsibilities include mentoring junior engineers, providing technical guidance, and influencing broader data platform strategy.

You are a proactive leader who drives efficient data delivery, infrastructure evolution, and technical excellence, quality-oriented with a strong sense of ownership over data reliability and accessibility, experienced in applying secure, compliant data handling practices in regulated environments, and collaborative and skilled at bridging business needs with technical solutions.

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