Resident Solutions Architect: Big Data & AI Implementations

Databricks

Warrnambool

On-site

AUD 180,000 - 240,000

Full time

4 days ago
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Job summary

Databricks in Warrnambool, Australia seeks a Resident Solutions Architect to join our Professional Services team. You will deliver data engineering, data science and cloud projects, integrating with client systems and providing training to help customers maximise value.

You should have 8+ years of Big Data experience, be comfortable coding in Python or Scala, and excel in post-sales project delivery, documentation and client communication.

Qualifications

  • 8+ years of experience with Big Data technologies in a customer-facing role.
  • Proficient coding in Python or Scala.
  • Experience with technical project delivery and managing scope/timelines.
  • Strong documentation and white-boarding skills.
  • Experience working with clients and managing conflicts.
  • Willingness to travel 20–30% of the time.
  • Nice to have: Databricks Certification.

Responsibilities

  • Work on a variety of impactful customer technical projects including reference architectures and MVPs/greenfield projects.
  • Guide strategic customers through end-to-end design, build, and deployment of big data and AI solutions.
  • Consult on architecture and design; bootstrap or implement strategic customer projects.
  • Provide escalated support for customer operational issues.
  • Collaborate with Databricks teams to ensure engagements meet customer needs and deliverables.
  • Provide product and implementation feedback to guide rapid resolution of issues.

Skills

Big Data Technologies
Python
Scala
Apache Spark
Kafka
Cloud Native
Data Lakes
Documentation
White-boarding
Client-facing
Travel
Databricks Certification

Tools

Databricks

Job description

Databricks in Warrnambool, Australia seeks a Resident Solutions Architect to join our Professional Services team. You will deliver data engineering, data science and cloud projects, integrating with client systems and providing training to help customers maximise value.

You should have 8+ years of Big Data experience, be comfortable coding in Python or Scala, and excel in post-sales project delivery, documentation and client communication.

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