Solutions Architect

Qubole
Qubole
( Engineering & Technical (Non-Software) )
asiaremotejobs.com  Remote (Asia | APAC Time Zone Permitted)

Job Type : Full-Time
Experience : 3 to 5 years
Education : Bachelor Degree

Job Detail

Qubole is a cloud-native data management platform for data pipelines, streaming analytics, and machine learning workloads that allows enterprises to quickly harness the power of data to gain valuable business insights. Only Qubole provides a unified environment for all major cloud providers (e.g., Amazon AWS, Google Cloud, and Microsoft Azure) and data processing engines (e.g., Apache Spark, Presto, and Apache Hive). Qubole’s award-winning platform offers the most open and flexible data workload capabilities in the market while reducing cloud data lake costs by more than 50 percent and requiring near-zero administration. The solution is trusted by leading brands such as Expedia, Disney, Oracle, Gannett, Fanatics, Activision Blizzard, and Adobe to spur innovation and transform their businesses in the era of Big Data.

Solutions Architects are critical to the success of Qubole. They work closely with sales as their technical partners in all the phases of the sales process – from evangelizing and demonstrating the technology to prospects, to defining and executing Proof of Concepts (POCs) and answering technical questions around Qubole's service and how it solves customers’ Big Data problems. Solutions Architects are also relied upon for various post-sales tasks, including implementations, optimizations, and helping ensure a high level of service for our customers. Qubole offers a fast-moving, dynamic, and challenging work environment, with the opportunity to make a direct impact on customers.  

Responsibilities

  • Provide technical leadership in sales opportunities with existing customers and prospects 
  • Research customers’ key requirements and execute Proof of Concepts 
  • Help customers in post sales implementations and support them through their use of the Qubole service
  • Evangelize best practices, architecture patterns, and use cases internally and externally 
  • Advance expertise and technical excellence in Big Data technologies such as Presto, Spark, Hive, and Airflow
  • Collaborate with Product and Engineering teams by providing customer feedback to help shape the product roadmap

Qualifications

  • Excellent communication, presentation, and demonstration skills, as well as a good understanding of the sales and post sales processes
  • Strong problem solving and troubleshooting skills 
  • Strong grasp of cloud infrastructure patterns and services in at least one of the four pubic clouds - Amazon AWS, Google Cloud, Microsoft Azure, or Oracle Cloud Infrastructure (OCI)
  • Experience with big data technologies such as Spark, Hadoop, Hive, Presto and related technologies
  • Comfortable writing code using Python, Java, or Scala
  • Firm grasp of SQL, data warehousing, and ETL concepts
  • Experience with distributed software applications architectures
  • Experience developing or using open-source technologies
  • Bonus points: Certification in Solutions Architecture in one or more of the three public clouds - Amazon AWS, Google Cloud, Microsoft Azure
  • Bonus points: Masters degree in Computer Science with a major in Data related field (Data Science, Data Engineering, or Data Analytics)

What it Takes to Thrive

  • A desire to learn and adapt in a rapidly growing and changing environment
  • You must be a self-starter who thrives on complexity and independence
  • Being highly organized and detail-oriented 
  • Strong written and oral communication skills
  •  Ability to learn quickly  
  • Not intimidated by getting thrown into the deep end
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