Senior Forward Deployed Engineer
Delivers customer-facing Databricks projects, including data and AI architecture, migration, implementation, and technical support. Requires 8+ years of big data and consulting or technical architecture experience, plus Python or Scala expertise and strong project delivery skills.
About the job
Responsibilities
- Work with clients on short- to medium-term customer engagements focused on big data challenges using the Databricks platform.
- Deliver data engineering, data science, and cloud technology projects integrating with client systems, including training and other technical tasks.
- Build reference architectures, how-to guides, 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 of big data and AI applications.
- Consult on architecture and design; bootstrap or implement customer projects to support evaluation and adoption of Databricks.
- 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 Customer Support to provide product and implementation feedback and resolve engagement-specific issues.
- Manage project scope and timelines.
- Travel to customers 20–30% of the time.
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.
- Strong documentation and whiteboarding skills.
- Experience working with clients and managing conflicts.
- Ability to build technical skills supporting the deployment and integration of Databricks-based solutions.
Nice to Have
- Databricks certification.
Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
Skills
Databricks, Spark, Apache Kafka, Python, Scala, Cloud Native, Data Lakes, Data Engineering, Data Science, Ai Applications, Technical Architecture, Project Delivery
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