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Big Data (Java/Scala with Spark) - C13 - VP Jobs

6 Job Offers

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Data Engineer (Spark)
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Poland , Warsaw; Cracow; Wroclaw; Bialystok
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15120.00 - 31920.00 PLN / Month
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Addepto sp. z o.o.
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Software Engineer - Data Engineering
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United States , Chicago
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130000.00 USD / Year
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AKUNA CAPITAL
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Director Data Engineering, Marketing Technology Solutions
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Canada , Toronto
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Not provided
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Mastercard
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Software Engineer - Data Engineering
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United States , Chicago
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130000.00 USD / Year
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AKUNA CAPITAL
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Big Data Program Lead
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India , Chennai
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Not provided
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Citi
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Applications Development Senior Programmer
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Canada , Mississauga
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Citi
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Explore high-impact Big Data (Java/Scala with Spark) - C13 - VP jobs and discover a senior leadership role at the intersection of data engineering, distributed computing, and strategic management. Professionals in this position are pivotal in architecting and leading the development of large-scale, data-intensive applications that drive business intelligence and decision-making. As a Vice President, you will be responsible for overseeing the entire data pipeline lifecycle, from ingestion and processing to analysis and deployment, leveraging the power of Apache Spark and the robustness of the JVM ecosystem, primarily through Java and Scala. Typical responsibilities for individuals in these jobs involve leading a team of data engineers and developers, setting technical direction, and ensuring the delivery of robust, scalable, and efficient data solutions. A common day might include designing high-performance data processing architectures, optimizing complex Spark jobs for performance and resource utilization, and implementing data models to support advanced analytics and machine learning initiatives. These leadership roles also require managing project timelines, coordinating with cross-functional teams including data scientists and business analysts, and ensuring data governance, security, and compliance standards are met across all platforms. The typical skills and requirements for these senior-level jobs are extensive. A strong, proven expertise in Apache Spark for large-scale data processing is non-negotiable, coupled with deep proficiency in either Java or Scala for building production-grade systems. Experience with distributed computing concepts and familiarity with the Hadoop ecosystem are standard. Beyond technical prowess, these jobs demand excellent leadership, communication, and stakeholder management skills, as you will be translating complex technical concepts for business audiences and guiding strategic initiatives. A background in software engineering best practices, including CI/CD, automated testing, and code review, is essential. Most candidates for these VP-level jobs possess a relevant advanced degree and a significant track record of successfully delivering enterprise-level data platforms. If you are a seasoned data professional ready to take on a strategic leadership role, exploring Big Data (Java/Scala with Spark) - C13 - VP jobs could be the next step in your career. This profession offers the opportunity to shape the data destiny of an organization, mentor top talent, and solve some of the most complex data challenges in the industry today.

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