Technical Lead

Technical Lead

About Sigmoid

Sigmoid is a leading data engineering and analytics company that enables global enterprises to unlock business value through data. We specialize in big data engineering, AI, machine learning, and advanced analytics solutions across high-growth industries.

With offices in San Francisco and Bengaluru, our team of engineers, data scientists, and strategists build scalable, production-grade platforms that power real-time decision-making for Fortune 500 companies.

Our managed services include real-time interactive analytics platforms used by global brands such as Honeywell, ironSource, and Capillary Technologies, delivering insights within seconds through advanced AI-driven systems.

Sigmoid has been recognized among the worlds most innovative technology companies, including accolades such as TiE50 Winner (2018) and NASSCOM Emerge 50 (2017).

Role Overview

We are looking for a Technical Lead Data Engineering to design and build highly scalable, fault-tolerant distributed data platforms.

This role requires a strong foundation in backend development combined with deep expertise in big data technologies. You will lead architecture decisions, remain hands-on with coding, and work directly with senior client stakeholders.

This position reports to the Engineering Manager.

Key Responsibilities

Architecture & Engineering

• Design, develop, and evolve highly scalable distributed systems using big data technologies
• Build fault-tolerant, high-performance data platforms handling massive datasets
• Design and implement APIs, abstractions, and integration patterns
• Define technical requirements and drive data extraction, transformation, and productionization
• Explore and implement emerging technologies in parallel processing environments

Leadership & Ownership

• Provide day-to-day technical leadership to engineering teams
• Guide developers on architecture, design patterns, and coding best practices
• Participate in hiring and mentoring top engineering talent
• Stay updated with emerging technologies to ensure maximum ROI for customers

Client Engagement

• Interface with Fortune 500 customers to understand strategic requirements
• Engage with VP and Director-level stakeholders
• Translate business requirements into scalable technology solutions
• Travel to client locations as required

Required Qualifications

• 10+ years of experience in software engineering / data engineering
• Strong foundation in backend development (Java / Python / Scala preferred)
• Proven experience in designing and delivering enterprise-scale distributed systems
• Hands-on expertise in Hadoop, Spark, or similar big data technologies
• Experience working with large and complex datasets
• Strong understanding of object-oriented and functional programming
• Experience with cloud platforms such as GCP or AWS
• Expertise in Spark, Hadoop, and GCS stack
• Strong problem-solving and system design skills
• Excellent written and verbal communication skills

Preferred Qualifications

• Experience in architecting and maintaining large-scale big data platforms
• Hands-on experience across the Hadoop ecosystem (HDFS, MapReduce, Hive, Impala, Kafka, etc.)
• Experience in database modeling, warehousing, and data mining
• Experience working in Agile environments
• Prior experience in high-growth or startup environments

What We Look For

• Strategic thinker with strong analytical orientation
• Entrepreneurial mindset with the ability to thrive in a fast-paced environment
• Ability to be both a technical leader and a hands-on contributor
• Strong ownership mindset and architectural thinking

Why Join Sigmoid?

• Opportunity to build and scale distributed data platforms for global enterprises
• Direct exposure to senior client stakeholders
• High-ownership engineering culture
• Work on complex, real-world big data problems
• Fast growth in a dynamic, innovation-driven environment