Resident Solution Architect Databricks
Unison Consulting Pte Ltd
Apply to this job Sydney, New South Wales, Australia on site Until 8/21/2026 First posted March 20, 2026 Last posted March 20, 2026
Job description
- Design and implement large-scale Azure and Databricks Data Lakehouse solutions.
- Build and optimize ETL/ELT pipelines for batch and real-time streaming workloads using Azure Data Factory, Databricks, and Apache Spark.
- Develop scalable data ingestion frameworks and integrate diverse structured and unstructured data sources.
- Optimize data storage and query performance using Delta Lake, Parquet format, partitioning, and Spark performance tuning techniques.
- Implement robust data governance, security, and access control using Unity Catalog, Azure Key Vault, and least-privilege principles.
- Build and maintain data quality frameworks using Great Expectations or similar validation tools for batch and streaming data.
- Automate pipeline deployment and CI/CD processes using Azure DevOps, Git, and configuration management tools.
- Enable advanced analytics and ML workflows by preparing curated datasets and integrating with ML platforms like MLflow.
- Develop real-time streaming solutions using Kafka, Azure Event Hubs, and Databricks Structured Streaming.
- Create reusable PySpark libraries and frameworks for data curation, reconciliation, notifications, and Delta table automation.
- Migrate legacy Hive or on-prem data sources to cloud platforms while ensuring security, compliance, and performance.
- Monitor pipeline performance, troubleshoot issues, and implement alerting and logging for proactive management.
- Collaborate with cross-functional teams and stakeholders to translate business requirements into scalable data solutions.
- Establish best practices, standards, and documentation for enterprise-wide data engineering and analytics initiatives.
- Mentor junior engineers and promote knowledge sharing within the data engineering team.
About this role
Summary
Designs and implements large-scale data solutions, pipelines, and ML workflows on cloud.
Job title
Resident Solution Architect Databricks
Experience level
not specified
Industry
software
Location requirements
Sydney, Australia; remote work not specified
Salary
Not specified
Management role
Yes
Skills & keywords
Required skills
AzureDatabricksSparkPythonApache KafkaAzure Data FactoryUnity CatalogAzure Key VaultCI/CD
Preferred skills
AzureDatabricksSparkMLflowAzure Data Factory
Specializations
cloud data engineeringETL/ELT pipelinesstreamingML workflowsdata governance
Locations
Structured locations inferred from the posting.
Sydney NSW, Australia
On-site City