Sr. Solutions Architect

Databricks; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

Databricks Inc. in Sydney, Australia seeks a Senior Solutions Architect to lead strategic customer engagements and shape data/AI platform adoption.

You will own executive relationships and drive architectural excellence across multi-workload migrations and real-time AI/ML initiatives. The role requires expert coding in Python/SQL/Spark, deep data architecture knowledge, and a proven ability to influence senior stakeholders.

Qualifications

• 8+ years in solutions architecture or senior customer-facing technical roles.
• Expert-level coding in Python, SQL, Spark/PySpark; live coding assessment during interview.
• Deep enterprise data architecture expertise: distributed systems, streaming, lakehouse, governance, cloud-native.
• Databricks Platform knowledge (or equivalent depth with rapid learning).
• Declared technical specialization with depth in real-time architectures, ML/AI platforms, migrations, or industry solutions.
• Proven track record driving consumption growth and platform adoption in large accounts.
• Executive presence to influence Directors, VPs and C-level stakeholders on data/AI strategy.
• Bachelor's or Master's in CS/Engineering or quantitative discipline; advanced degrees valued.

Responsibilities

• Drive technical and consumption strategy for the most complex engagements, influencing platform adoption.
• Own senior-level technical relationships as trusted advisor on enterprise data/AI strategy.
• Lead complex architecture engagements: multi-workload platforms, migrations, real-time, AI/ML at scale.
• Act as Databricks Platform expert, mentoring others and driving cross-team impact.
• Develop competitive strategies and position against incumbents/new platforms.
• Orchestrate cross-functional teams to deliver enterprise-grade solutions.
• Coach junior SAs on depth, engagements, and use-case prioritization.
• Contribute to field engineering through content, workshops, and community engagements.

Skills

Python

SQL

Spark/PySpark

Enterprise data architecture

Executive presence

Technical leadership

Industry specialization

Platform adoption

Education

Bachelor's / Master's in CS/Engineering or quantitative field

Tools

Databricks certifications

Snowflake

AWS

Google Cloud

Azure

Job description

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
• Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy
• Experience leading competitive displacements and complex enterprise evaluations
• Strong strategic thinking — connecting technical architecture decisions to business outcomes and revenue impact
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued

Nice to Have:

• Databricks certifications
• Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company
• Published thought leadership (blogs, conference talks, open source contributions)
• Industry vertical expertise with executive-level domain credibility

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.