DataOps Engineering Manager at STREAMVECTOR INC D B A SIGMOID ANALYTICS

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

DataOps, Big Data Platform, Cloud Infrastructure, Infra-as-Code, CI/CD, Monitoring, Logging, Cloud Consulting, Team Management, Hiring, API Design, Distributed Computing, AWS, GCP, Azure, Agile

Industry

Business Consulting and Services

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)

Responsibilities

The DataOps Engineering Manager will lead a team in building operational excellence for a highly scalable big data platform used for data collection, storage, modeling, and analysis. This role involves interfacing daily with Fortune 500 clients to understand strategic requirements and designing fault-tolerant cloud infrastructure.