Databricks Solutions Architect

5 days ago


Melbourne, Victoria, Australia CloudTech Innovations Full time $120,000 - $200,000 per year

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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