Job Description
Our client is looking for a Databricks Solution Architect to join our elite team of data alchemists. You’ll work with cutting-edge cloud and AI solutions, helping customers architect scalable, high-performance data platforms using Databricks on AWS or Azure,.
This role blends deep technical expertise, strategic consulting, and hands-on implementation. You’ll design data solutions, mentor teams, and ensure customers extract maximum value from their Databricks investments.
Responsibilities
- Shape the future of AI-driven data platforms – Architect next-gen data lakes, lakehouses, and real-time analytics solutions.
- Lead transformative projects – Guide organisations through cloud migrations, Databricks deployments, and AI-powered decision-making.
- Enable seamless integrations – Optimise how Databricks connects with third-party tools, data pipelines, and governance frameworks.
- Be the go-to expert – Advise customers on best practices, security, cost optimisation, and performance tuning.
- Upskill teams – Conduct workshops, training sessions, and hands-on mentorship to elevate data engineering capabilities.
- Collaborate with the best – Work alongside Datasmiths’ architects, engineers, and Databricks field teams to drive impactful outcomes.
Qualifications
- 5+ years of experience in Big Data, Cloud, or AI-driven architectures.
- Hands-on expertise with Databricks, Apache Spark™, Delta Lake, and MLflow
- Proficiency in Python, Scala, or SQL, with a deep understanding of data engineering and ELT/ETL pipelines.
- Strong cloud experience with AWS orAzure, particularly in data lake architectures and security frameworks.
- Strategic mindset, with experience in technical consulting, solution architecture, or professional services.
- Exceptional problem-solving and customer engagement skills.
- A passion for AI, automation, and making complex data problems disappear.
Preferred Qualifications
- Databricks Certification (e.g., Databricks Certified Data Engineer, ML Associate, Solutions Architect).
- Experience in high-scale real-time streaming architectures (e.g., Kafka, Kinesis).
- Prior experience in regulatory-heavy industries (Financial Services, Government).
- Knowledge of AI/ML pipelines and MLOps best practices.
Benefits
- Be part of an AI-native company – We live and breathe cutting-edge AI and data solutions.
- Work on high-impact projects – We partner with industry leaders to solve some of the toughest data challenges.
- Shape the future of Databricks in ANZ – We are deeply embedded in the Databricks ecosystem, running meetups, training talent, and leading AI-driven transformation.
- Competitive compensation – We offer a generous salary and performance-based bonuses.
- Flexible work culture – Hybrid and remote work options to fit your lifestyle.
- Grow with us – Access top-tier learning resources, Databricks partnerships, and leadership development programs.
Compensation
The base pay range for this role is A$150,000 – A$200,000 per year.