Databricks Solutions Architect
5 days ago
Job Title: Solution Architect
Location:
Melbourne, Australia
Employment Type:
Contract
About the Role
We are seeking a seasoned
Solution Architect
with a strong background in designing and implementing scalable data and cloud architectures. The ideal candidate will have hands-on experience with
Databricks
, modern data platforms, and enterprise-grade cloud solutions. You'll collaborate with cross-functional teams to define technical roadmaps, architect high-performing solutions, and drive innovation across analytics and data-driven platforms.
Key Responsibilities
- Design and lead implementation of
end-to-end cloud-native data platforms
leveraging tools such as
Databricks
,
Delta Lake
, and
MLflow
. - Define architecture for large-scale
ETL/ELT pipelines
, data lakes, and real-time/streaming data solutions. - Collaborate with data engineers, data scientists, and stakeholders to convert business goals into scalable technical solutions.
- Integrate
Databricks notebooks
,
Apache Spark
, and cloud-native services (e.g., AWS Glue, Azure Data Factory) for batch and real-time data processing. - Implement
governance and data security
using tools like
Unity Catalog
, IAM, and encryption at rest/in transit. - Define integration patterns using REST APIs, event-driven messaging (Kafka/Pub/Sub), and distributed systems design.
- Participate in architectural reviews and performance tuning across distributed compute frameworks.
- Stay updated on emerging tools and technologies in data architecture, cloud infrastructure, and ML Ops.
Required Qualifications
- Bachelor's or Master's in Computer Science, Data Engineering, or related field.
- 10+ years of experience in enterprise software or data architecture roles.
- Strong hands-on experience with
Databricks
,
Apache Spark
, and
Delta Lake
. - Proficiency in at least one cloud platform (
AWS, Azure, or GCP
), with experience in services like S3, ADLS, BigQuery, or Redshift. - Familiarity with
streaming platforms
such as Kafka, Kinesis, or Azure Event Hubs. - Experience designing and deploying
data lakehouses
or
analytics platforms
. - Strong understanding of
data modeling, data governance, and pipeline orchestration
(Airflow, dbt, or similar). - Skilled in performance optimization, data security best practices, and cloud cost management.
- Excellent communication skills for stakeholder management and cross-functional collaboration.
Preferred Skills
- Preferred certifications in Databricks, AWS/Azure/GCP Solution Architecture, or TOGAF.
- Knowledge of
ML/AI workflows
, model versioning, and
ML Ops
practices. - Experience with
Unity Catalog
,
Great Expectations
, or data quality frameworks. - Prior work in regulated environments (e.g., healthcare, finance, insurance, energy) is a plus.
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