Field Solutions Architect

San Jose, CA
Xcalar is pushing the limits of technology to help people discover deep, meaningful insights from modern data. Our mission is to be the industry standard for next generation big data pipelines, powered by our scalable, relational analytics engine. We have an immediate need for a Solutions Architect to join our Field Services team in the Greater New York or San Francisco Bay Area regions.

Your primary goal will be to engineer complete solutions that enable customers to solve data preparation, data quality, and data science problems in their information pipelines. You will work directly with Xcalar engineering to integrate prototype solutions that extend and evolve our core product. As a trusted advisor for our largest customers in the private and government sectors, you will continuously help position Xcalar as the data processing platform of choice.

We are looking for self motivated, independent people with a passion for technology combined with a consultative, customer-driven focus.

*Principals only, no recruiters please*


    • Design and implement end-to-end solutions that exceed client expectations on functionality, simplicity, and performance
    • Train customers and partners to fully leverage the Xcalar platform
    • Understand customer problems, determine how Xcalar can solve them, and identify gaps where the product should be extended
    • Establish a trusted advisor relationship with client technical and business leaders
    • Conduct early product testing for usability, performance, and stability of new features
    • Provide input and co-author real-world case studies and technical white papers
    • Curate deployment best practices for the overall Xcalar user community
    • Bring user requirements to functional reviews for key engineering projects
    • Advocate for critical product enhancements that will unblock adoption
    • Deliver weekly field demos to engineering that share lessons learned firsthand from customer projects and research
    • Assist sales teams in delivering stellar proof-of-concept pilots that transition smoothly into production deployments
    • Help design and run competitive performance benchmarks

Required Skills & Experience

    • BS/MS in Computer Science, Math, Engineering, or a related field with 3-5 years experience in a customer-facing technical role
    • Strong Python programming experience with popular libraries like Pandas, Numpy, Scipy, Matplotlib, Rpy2. Proficiency with Java or Javascript is a plus.
    • Experience developing applications with SQL, Spark, Kafka, or Matlab
    • Working knowledge of database systems, ETL pipelines, or data warehousing
    • Hands-on experience with Hadoop infrastructure and Linux systems
    • Experience deploying in public clouds: AWS, Azure, and GCE
    • Familiarity with Machine Learning frameworks is a plus
    • Clear and concise verbal and written communication skills are essential
    • Passion for innovative problem-solving in complex environments that intermix open-source and commercial products 
    • Willingness to travel for onsite deployment, training, and presentations