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Data Platform Engineering Lead India Jobs

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Principal Software Engineer, Trusted Data Platform
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India , Bangalore
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Atlassian
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Lead Data Analyst – Marketing Data & AI
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India , Delhi, Kolkata
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Thirdeye Data
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Senior Data Engineer
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India , Hyderabad
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Randstad
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Senior Data Engineer
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India , Bangalore
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Rearc
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Lead Data Engineer
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India , Bengaluru
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Rearc
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Senior Data Engineer – Data Engineering & AI Platforms
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India , Chennai, Madurai, Coimbatore
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OptiSol Business Solutions
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Lead Data Engineer
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India , Kochi; Trivandrum
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Experion Technologies
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Sales Engineering Lead
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India , Bengaluru
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EvoluteIQ
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Lead Data Validation Specialist
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India , Pune
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Addepar
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Senior Technical Engineering Lead
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India , Pune
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Citi
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Automation Engineering Lead Analyst
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India , Pune; Chennai
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Citi
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Bigdata Support Lead Engineer
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India , Bengaluru; Chennai
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Citi
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AI Lead Engineer
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India , Bangalore
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Hewlett Packard Enterprise
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Platform Engineer – Storage Product Platform Development
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India , Bangalore
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Hewlett Packard Enterprise
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Platform Engineer – Storage Product Platform Development
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India , Bangalore
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Hewlett Packard Enterprise
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Lead Data Engineer
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India , Gurugram
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Circle K
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Lead Data Engineer
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India , Gurugram
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Circle K
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Big Data / Scala / Python Engineering Lead
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India , Chennai
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Citi
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Data Engineering Lead
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India , Pune
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Citi
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Data Engineering Manager
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India , Bengaluru
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6sense
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Pursue a pivotal role at the intersection of data and technology by exploring Data Platform Engineering Lead jobs. This senior-level position is the cornerstone of any modern, data-driven organization, responsible for the vision, strategy, and execution of the company's central data infrastructure. A Data Platform Engineering Lead is not just a manager but a strategic architect who builds and scales the robust, reliable, and scalable data platforms that empower analytics, machine learning, and business intelligence across the entire enterprise. Professionals in these jobs typically oversee the entire data platform lifecycle. Their primary mission is to provide a seamless, self-service data ecosystem where data scientists, analysts, and other business units can reliably access, process, and derive insights from vast amounts of data. Common responsibilities include architecting and designing the overall data platform, often leveraging cloud technologies and big data frameworks like Hadoop, Spark, and Kafka. They lead a team of data engineers, managing personnel duties, resource allocation, and fostering a culture of technical excellence. A critical part of their role involves establishing and enforcing data governance, security protocols, and compliance standards to ensure data integrity and safety. They are also tasked with researching and integrating new technologies, creating technical roadmaps, and translating complex business requirements into sound, long-term technical solutions. The typical skill set for Data Platform Engineering Lead jobs is both deep and broad. A strong background in software engineering is paramount, with expertise in languages like Java, Python, and Scala, and concepts like microservices and DevOps practices. In-depth knowledge of big data technologies, data warehousing solutions, and streaming data platforms is essential. Given the cloud-native nature of modern data platforms, proficiency with cloud providers like AWS, GCP, or Azure is almost always a requirement. Beyond technical acumen, these roles demand exceptional leadership and stakeholder management skills. Leads must mentor junior engineers, communicate complex technical concepts to non-technical audiences, and negotiate with external vendors or internal departments. They are expected to be strategic thinkers, proactive problem-solvers, and effective project managers who can handle pressure and manage multiple priorities. Most positions require a bachelor's degree in computer science or a related field, coupled with 10+ years of relevant experience, including several years in a leadership or architecture capacity. For those seeking a career defining challenge, Data Platform Engineering Lead jobs offer the opportunity to shape the data destiny of an organization and drive innovation from the ground up.

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