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DataOps Engineering Manager

Sigmoid

Bangalore (Sigmoid) Remote permanent

Posted: January 27, 2026

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Quick Summary

DataOps Engineering Manager is responsible for leading the data engineering team to deliver high-quality data solutions to drive business growth and innovation.

Job Description

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India.

Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists.

DataOps Engineering Manager

As a DataOps Engineering Manager, you will be leading a team to build operational excellence around the highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels.

Responsibilities :

• Align Sigmoid with key Client initiatives

• Interface daily with customers across leading Fortune 500 companies to understand strategic requirements

• Connect with IT&D Directors, DE/DS VP and Director level clients on a regular basis.

• Travel to client locations

• Ability to understand business requirements and tie them to technology solutions

• Build a delivery plan with domain experts and stay on track

• Design, develop and evolve highly scalable and fault-tolerant Cloud Infrastructure.

• Excellent experience in implementing Infra-as-a-Code, CI/CD, Monitoring/Logging solutions, Cloud Consulting, Managing support teams and complex data system management.

• Build team and manage it day to day basis

• Play the key role of hiring manager to build the future of Sigmoid.

• Guiding DataOps engineers in day to day design and implementation tasks, stepping in to code if needed.

• Define your team structure, Hire and train your team as needed

• Stay up-to-date on the latest technology to ensure the greatest ROI for customer & Sigmoid

• Hands on coder with good understanding on enterprise level code

• Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems

• Experience in defining technical requirements, automating jobs, productionizing jobs, experience designing cloud architecture with AWS/GCP/Azure cloud and exploring new big data technologies.

• Culture

• Must be a strategic thinker with the ability to think unconventional / out:of:box.

• Analytical and data driven orientation.

• Raw intellect, talent and energy are critical.

• Entrepreneurial and Agile : understands the demands of a private, high growth company.

• Ability to be both a leader and hands on "doer".

Qualifications :-

• 10+ year track record of relevant work experience and a Computer Science or related technical discipline is required

• Dynamic leader who has directly managed team of highly competent developers in fast paced work environment

• Experience in Architecture and Management of Enterprise scale applications/Data Systems.

Preferred Qualification:

• Experience in agile methodology

• Development and support experience in Data domain

• Architecting, developing, implementing and maintaining Cloud, automation and Data solutions

• Experience on Developing and managing workloads on AWS/GCP/Azure

• Experience with DevOps tools and process implemations (IaaC, CD, CD, Monitoring, Logging, K8s, Docker etc)

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