Data Engineering Technical Lead

As a Technical Lead Data Engineering at Sigmoid, you will play a crucial role in designing and building highly scalable, fault-tolerant distributed data platforms. Your responsibilities will include leading architecture decisions, coding, and collaborating directly with senior client stakeholders. **Key Responsibilities:** - 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 **Qualifications Required:** - 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 At Sigmoid, you will have the opportunity to build and scale distributed data platforms for global enterprises, work directly with senior client stakeholders, and be part of a high-ownership engineering culture. Join us to work on complex, real-world big data problems and experience fast growth in a dynamic, innovation-driven workplace. As a Technical Lead Data Engineering at Sigmoid, you will play a crucial role in designing and building highly scalable, fault-tolerant distributed data platforms. Your responsibilities will include leading architecture decisions, coding, and collaborating directly with senior client stakeholders. **Key Responsibilities:** - 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 **Qualifications Required:** - 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 At Sigmoid, you will have the opportunity to build and scale distributed data platforms for global enterprises, work directly with senior client stakeholders, and be part of a high-ownership engineering culture. Join us to work on complex, real-world big data problems and experience fast growth in a dynamic, innovation-driven workplace.