Senior Big Data Solutions Architect

hace 3 días


San Francisco, Heredia, Costa Rica Databricks A tiempo completo

As a Resident Solutions Architect at Databricks, you will have the opportunity to shape the future of big data technologies for leading Fortune 500 organizations.

This senior-level customer-facing role requires deep expertise in Apache Spark, as well as a broad range of big data solution architecture experience.

Main Responsibilities:

  • Provide technical leadership in a post-sales capacity to guide strategic customers in designing and implementing big data projects
  • Identify and drive new initiatives to enable customers to turn their data into actionable business value
  • Architect production-level workloads, including end-to-end pipeline load performance testing and optimization
  • Deliver tutorials and trainings to drive community adoption
  • Work closely with Engineering and Product Management to drive the direction of the Databricks product
  • Contribute to the Databricks SME community

Requirements:

  • Hands-on and technical expertise with Apache Spark
  • Proven experience in design and implementation of big data technologies, including Hadoop, NoSQL, MPP, OLTP, and OLAP
  • 5+ years of experience working as a Software Engineer/Data Engineer, with expertise in query tuning, performance tuning, troubleshooting, and debugging Spark and other big data solutions
  • Comfortable programming in Python, Scala, or Java
  • Experience using and designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP
  • Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools, and SQL Interfaces
  • Excellent communication skills and comfortable presenting to strategic stakeholders/leadership
  • Experience in customer-facing pre-sales, post-sales, technical architecture guidance, or consulting
  • Passionate about learning new technologies and making customers successful
  • Data Science/ML Engineer experience in model selection, model lifecycle, hyper-parameter tuning, model serving, deep learning, and using tools like MLFlow is desired

About Databricks:

Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.



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