Sr. Forward Deployed Engineer
Databricks5 months ago
Sydney, AustraliaSenior
Responsibilities
- Deliver short- to medium-term customer engagements addressing big data challenges using the Databricks platform.
- Build reference architectures, how-to materials, production-grade MVPs, and greenfield projects.
- Guide strategic customers through transformational big data projects and third-party migrations, including end-to-end design, build, and deployment.
- Consult on architecture and design and implement 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 engagement technical components.
- Collaborate with Engineering and 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 delivering technical projects, 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.
- Databricks Certification is preferred.
- Ability to travel to customers 20–30% of the time.
Benefits
- Comprehensive benefits and perks, with region-specific details available.
- Requires travel to customers 20–30% of the time.
Tech Stack
Categories
Forward Deployed
About Databricks
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.