Solutions Architect - Australia
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Before you apply
SalaryA$150k – A$200k
LocationSydney, Australia
Work moderemote
Typefull-time
SenioritySenior
Experience5+ yrs
Company size2+ people
PostedJan 17, 2026 · 9mo ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Jan 17, 2026
At a glanceSummarised by Seekless from the posting.
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
Deep understanding of data engineering and ELT/ETL pipelines
Strong cloud experience with AWS or Azure
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
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
Skills
Databricks
Apache Spark
Delta Lake
MLflow
Python
Scala
SQL
AWS
Azure
Kafka
Kinesis
Benefits
Competitive salary
Performance bonus
Flexible work hours
Remote work
Professional development
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.
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