Sr. Solutions Architect (Energy)

Location: Sydney, Australia

Company

Databricks is a data and AI company providing a unified platform for data, analytics, machine learning, and AI applications.

What you will do

• Drive technical and consumption strategy for complex enterprise engagements, influencing platform adoption and revenue growth.
• Own senior technical relationships and advise executives on enterprise data and AI strategy.
• Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
• Develop competitive strategies and lead evaluations against incumbent and emerging platforms.
• Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
• Mentor junior solutions architects and contribute to customer-facing thought leadership, workshops, and community engagement.

Requirements

• 8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
• Expert-level coding proficiency in Python and SQL; Spark/PySpark is ideally included. A live coding assessment and platform build are part of the interview.
• Deep expertise in enterprise data architecture, including distributed systems at scale, streaming/real-time systems, lakehouse design patterns, data governance, and cloud-native platforms.
• Expert-level Databricks Platform knowledge, or equivalent depth in competing platforms with demonstrated ability to learn rapidly.
• Recognized technical specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
• Proven experience driving consumption growth and platform adoption in large accounts, leading competitive displacements and complex enterprise evaluations.
• Executive presence and ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy.
• 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.
• Experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company.
• Published thought leadership, including blogs, conference talks, or open-source contributions.
• Industry vertical expertise with executive-level domain credibility.

Culture & Benefits

• Comprehensive benefits and perks are offered, with details varying by region.
• Commitment to a diverse and inclusive workplace and equal employment opportunity.
• Access to a global organization with more than 20,000 customer organizations and 30+ offices worldwide.

Hiring process

• Complete a live coding assessment and a platform build during the interview.
• Access to export-controlled technology or source code may require a U.S. government license; the employer may decline to proceed on this basis.