Sr. Solutions Architect (Energy) Databricks Engineering Sydney, Australia 4 hours ago

FEQ427R444

Location: Sydney

As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence.

The Impact You Will Have

• Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth.

• Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy

• Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale

• Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team

• Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms

• Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions

• Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization

• Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement

What We Look For

• 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role

• Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview

• Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms

• Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability)

• Declared technical specialization with recognized depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions

• Proven track record of driving consumption growth and platform adoption in large accounts