Data Architect and Backend Engineer for High-Volume Data Platforms
1 miesiąc temu
Splunk is a pioneering company in the machine data accessible space, committed to delivering the best experience for our customers. As a data architect and backend engineer for high-volume data platforms, you'll be a part of our Lakehouse team, working with other team members to deliver new query capabilities to the platform and extend Splunk's capability to search and analyze data wherever it resides.
In this role, you will:
- Design and implement new features to extend the Splunk platform to query new data lakes and provide further customer insights from their data.
- Write high-performance, production-quality distributed systems code.
- Build, test, operate, and maintain customer-critical query functionality.
- Stay up-to-date with the latest technologies and continuously learn and adapt.
- Develop and implement prototypes to empower your ideas.
- Optimize query performance and innovate the product roadmap.
- Contribute to solving meaningful problems and devise new solutions.
This is a backend engineering role that requires a strong Java/Scala or C++ skills with distributed systems design and knowledge of object-oriented and functional programming practices. In addition, you should have a solid understanding of computer science fundamentals and data structures, and experience with Apache Spark, Databricks, or similar high volume data technologies is a plus.
The ideal candidate will have a passion for solving hard problems and exploring new technologies, excellent team player skills, and good communication and documentation skills. A bachelor's or master's degree in Computer Science or equivalent is required.
Splunk is committed to creating a culture of belonging and prioritizes diversity, equity, inclusion, and belonging. We offer a market-based pay structure that varies by location, incentive compensation, and equity or long-term cash awards, as well as comprehensive benefits and a competitive salary range of $150,000 - $200,000 per year, depending on location and experience.
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