Databricks

Resident Solutions Architect

Databricks
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5 months ago
Perth, AustraliaSenior

Responsibilities

  • Build reference architectures, how-to materials, production-grade MVPs, and greenfield projects for customers.
  • Guide strategic customers through transformational big data projects and third-party migrations, including end-to-end design, build, and deployment of big data and AI applications.
  • Consult on architecture and design and implement strategic customer projects to support Databricks evaluation and adoption.
  • Provide escalated support for customer operational issues.
  • Coordinate with Databricks technical teams, project managers, architects, and customer teams to deliver technical engagement components.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and resolve engagement-specific issues.

Requirements

  • 8+ years of experience with big data technologies such as Apache Spark, Kafka, cloud-native technologies, and data lakes in a customer-facing post-sales, technical architecture, or consulting role.
  • Ability to write code in Python or Scala.
  • Experience with technical project delivery, including managing scope and timelines.
  • Strong documentation and whiteboarding skills.
  • Experience working with clients and managing conflicts.
  • Technical skills supporting the deployment and integration of Databricks-based solutions.
  • Ability to travel to customers 20–30% of the time.
  • Databricks Certification is preferred.

Benefits

  • Comprehensive benefits and perks are offered, with details varying by region.

Tech Stack

Apache KafkaApache SparkDatabricksMLflowPythonScala

Categories

Solutions Engineering
Databricks

About Databricks

10,000+ employees

Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.

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