Senior Solutions Architect: Enterprise AI & Data Strategy

Nearheal; Sydney; Hybrid; AUD 180,000 - 240,000; Full time

Job summary

Databricks in Sydney is seeking a Sr. Solutions Architect to lead the most complex customer engagements, shaping consumption strategy and executive-level technical direction. You will own senior technical relationships and drive platform adoption across large enterprise accounts.

You will mentor junior SAs, craft real-time data and AI solutions, and influence across cross-functional teams. This role demands deep cloud-native architecture expertise and a proven track record of revenue impact.

Qualifications

• 8+ years in solutions architecture or senior technical pre-sales
• Expert-level coding with Python and SQL; Spark/PySpark
• Deep enterprise data architecture and cloud-native platforms
• Proven executive stakeholder influence across Directors, VPs, and C-level
• Bachelor's or Master's in CS/Engineering or equivalent experience

Responsibilities

• Drive the technical and consumption strategy for the organization’s most complex customer engagements
• 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, migrations, real-time systems, AI/ML at scale
• Mentor and coach junior SAs on technical depth and customer engagement
• Contribute to Field Engineering thought leadership through customer-facing content and workshops

Skills

Solutions architecture

Python

SQL

Spark/PySpark

Databricks platform knowledge

Executive stakeholder engagement

Education

Bachelor's or Master's in CS/Engineering

Tools

Databricks

Spark

Job description

Databricks in Sydney is seeking a Sr. Solutions Architect to lead the most complex customer engagements, shaping consumption strategy and executive-level technical direction. You will own senior technical relationships and drive platform adoption across large enterprise accounts.

You will mentor junior SAs, craft real-time data and AI solutions, and influence across cross-functional teams. This role demands deep cloud-native architecture expertise and a proven track record of revenue impact.