Sr. Solutions Architect
Databricks13 hours ago
Sydney, AustraliaSenior
Responsibilities
- Drive technical and consumption strategy for complex customer engagements and influence platform adoption and revenue growth.
- Own senior-level technical relationships and advise executives on enterprise data and AI strategy.
- Lead complex architecture engagements involving multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale.
- Serve as an expert on the Databricks Platform and drive horizontal impact through mentoring and technical leadership.
- Develop competitive strategies and position Databricks against incumbent and emerging platforms.
- Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
- Coach junior Solutions Architects on technical depth, customer engagement, and use-case prioritization.
- Contribute to field engineering thought leadership through customer-facing content, workshops, and community engagement.
Requirements
- At least 8 years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
- Expert coding proficiency in Python and SQL, with Spark/PySpark preferred; the interview includes a live coding assessment and platform build.
- Deep expertise in enterprise data architecture, distributed systems at scale, streaming and real-time systems, 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.
- Recognized technical specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
- Track record of driving consumption growth, platform adoption, competitive displacements, and complex enterprise evaluations.
- Ability to influence Directors, VPs, and C-level stakeholders and connect 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.
- Databricks certifications, experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company, published thought leadership, and industry vertical expertise are preferred.
Benefits
- Comprehensive regional benefits and perks are offered; specific details depend on the employee's region.
- The role is located in Sydney.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.