Job Title

Technical Lead About SigmoidSigmoid 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 world’s most innovative technology companies, including accolades such as TiE50 Winner (2018) and NASSCOM Emerge 50 (2017).Role OverviewWe 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 ResponsibilitiesArchitecture & EngineeringDesign, develop, and evolve highly scalable distributed systems using big data technologiesBuild fault-tolerant, high-performance data platforms handling massive datasetsDesign and implement APIs, abstractions, and integration patternsDefine technical requirements and drive data extraction, transformation, and productionizationExplore and implement emerging technologies in parallel processing environmentsLeadership & OwnershipProvide day-to-day technical leadership to engineering teamsGuide developers on architecture, design patterns, and coding best practicesParticipate in hiring and mentoring top engineering talentStay updated with emerging technologies to ensure maximum ROI for customersClient EngagementInterface with Fortune 500 customers to understand strategic requirementsEngage with VP and Director-level stakeholdersTranslate business requirements into scalable technology solutionsTravel to client locations as requiredRequired Qualifications10+ years of experience in software engineering / data engineeringStrong foundation in backend development (Java / Python / Scala preferred)Proven experience in designing and delivering enterprise-scale distributed systemsHands-on expertise in Hadoop, Spark, or similar big data technologiesExperience working with large and complex datasetsStrong understanding of object-oriented and functional programmingExperience with cloud platforms such as GCP or AWSExpertise in Spark, Hadoop, and GCS stackStrong problem-solving and system design skillsExcellent written and verbal communication skillsPreferred QualificationsExperience in architecting and maintaining large-scale big data platformsHands-on experience across the Hadoop ecosystem (HDFS, MapReduce, Hive, Impala, Kafka, etc.)Experience in database modeling, warehousing, and data miningExperience working in Agile environmentsPrior experience in high-growth or startup environmentsWhat We Look ForStrategic thinker with strong analytical orientationEntrepreneurial mindset with the ability to thrive in a fast-paced environmentAbility to be both a technical leader and a hands-on contributorStrong ownership mindset and architectural thinkingWhy Join Sigmoid?Opportunity to build and scale distributed data platforms for global enterprisesDirect exposure to senior client stakeholdersHigh-ownership engineering cultureWork on complex, real-world big data problemsFast growth in a dynamic, innovation-driven environment