Cloud Data & Platform Engineer

Current Job Type

  • Permanent

Salary / Rate

  • $160000 p/a

Notice Period

  • Immediate

Location

  • Melbourne

Status

  • Australian Citizen

Back to search

View Track List

Candidate Description


An accomplished Senior Cloud Data Engineer with over 12 years of expertise in designing and implementing modern cloud-based data platforms. With deep proficiency in Snowflake, Databricks, AWS, and Azure, this professional has delivered scalable, high-performance data solutions that drive strategic business insights. Their expertise spans data modeling, ETL/ELT pipeline development, data governance, and cloud-based analytics, ensuring optimal data architecture for organizations. Passionate about mentoring and collaborating with cross-functional teams, they excel in optimizing cloud infrastructure, implementing best practices, and leveraging the latest technologies to enhance data-driven decision-making.


As a Senior Data Engineer, they lead data platform initiatives, designing and implementing data ingestion pipelines using Snowflake, AWS Glue, and Azure Data Factory. Their work includes optimizing data processing with dbt, developing Python-based solutions to integrate APIs into Databricks, and implementing role-based access controls to ensure compliance and security. Previously, they played a key role in enhancing enterprise data warehouses, migrating legacy data into cloud environments, and developing business intelligence reports in Power BI. Their experience spans multiple industries, where they have successfully streamlined data transformation processes, automated deployments, and improved data accessibility across organizations.


They have successfully led the implementation of a cloud-native data warehouse using Snowflake and AWS, improving performance and reducing operational costs. Their expertise in developing scalable ETL pipelines enabled seamless data ingestion from various sources, including Workday, Salesforce, and Infor. Additionally, they were critical in optimizing query execution and performance tuning in Snowflake, resulting in faster reporting and analysis for business users. Their ability to integrate AI-driven analytics and enhance data governance frameworks has significantly improved organizational data management and compliance.


Products & Platform experience

Airflow
Apache Spark
AWS
Azure
Databricks
Microsoft BI
Snowflake
Azure Integration Services
Salesforce

Domain experience

Azure DevOps
ITIL
SDLC
ETL Packages
SSAS
SSIS
SSRS
Artifacts
Pipelines
Analysis Services
Blob Storage
Data Factory
Data Lake Gen 1 (ADLS)
Data Lake Gen 2 (ADLS)
Lakehouse
Microsoft Fabric
Purview
Stream Analytics
Synapse Analytics
Azure SQL
Data Governance
Data Migration Planning
Database Migration Service
Dataverse
MySQL
PostgreSQL
Power BI
SQL Database
SQL Managed Instance
SQL Server on VM
T-SQL
GitHub
Python
SDK's
Security Center

Previous / Alternative positions

Data Analyst
Data Engineer
Platform Manager
Senior Data Engineer

Industry & Project experience

Financial Services
Government
Logistics
PaaS Partner
Utilities

Educations & Certifications

AZ-900 Microsoft Azure Fundamentals
Databricks Data Engineer Associate
DP-203 Data Engineering on Microsoft Azure
DP-900 Microsoft Azure Data Fundamentals
Microsoft Certified: Fabric Analytics Engineer Associate
Microsoft Certified: Fabric Data Engineer Associate
Snowflake Certified: SnowPro Core
BA - Computing

Search Again

Location
Position Type
Skills/Add ons/Tech Stack:
Notice Period

Talent ID

16505082

Looking for work with this skillset? Click here to search for jobs.