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Technical Leader - Data Engineering Jobs (Hybrid work)

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Java Technical Manager
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India , Pune
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Not provided
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Citi
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Procurement Project Coordinator
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United States , Tempe
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MillenniumSoft Inc
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Principal Product Marketing Manager
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United States , San Francisco
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200000.00 - 240000.00 USD / Year
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Intercom
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Principal Product Marketing Manager
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United Kingdom , London
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Intercom
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Are you a visionary engineer who bridges the gap between raw data and strategic impact? Explore Technical Leader - Data Engineering jobs, a pivotal senior role where technical mastery meets leadership excellence. This profession sits at the apex of the data pipeline, responsible for architecting, building, and overseeing the robust data infrastructure that fuels analytics, machine learning, and business intelligence for entire organizations. A Technical Leader in Data Engineering typically transcends hands-on coding to define the technological vision. They design scalable, reliable, and efficient data architectures, making critical decisions on cloud platforms, data warehousing solutions, streaming technologies, and ETL/ELT frameworks. Their core responsibility is to lead a team of data engineers, providing mentorship, establishing best practices, and ensuring the delivery of high-quality data products. They collaborate closely with data scientists, analysts, and business stakeholders to translate complex requirements into elegant technical solutions, ensuring data is accessible, trustworthy, and actionable. Common responsibilities for professionals in these leadership jobs include developing and enforcing data governance and security standards, optimizing data pipelines for performance and cost, and driving the adoption of new tools and methodologies. They are often the key technical point of contact for data-related initiatives, troubleshooting complex issues, and planning for future data needs as the company scales. Typical skills and requirements for Technical Leader - Data Engineering jobs are extensive. A strong foundation in distributed computing, SQL and NoSQL databases, and programming languages like Python, Scala, or Java is essential. Expertise in cloud services (AWS, GCP, Azure) and big data technologies (Spark, Kafka, Hadoop) is standard. Beyond technical prowess, successful candidates demonstrate proven team leadership, exceptional communication skills, and a strategic mindset. They possess a deep understanding of data modeling, system design, and DevOps/DataOps principles. A background in solving large-scale data problems and a commitment to fostering a culture of innovation and quality are hallmarks of this senior profession. If you are ready to shape the data destiny of an enterprise, searching for Technical Leader - Data Engineering jobs is your next strategic move.

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