Impactful Azure Solutions Architect
2 weeks ago
Senior Azure Data Engineer
We're looking for a skilled professional to design and deliver impactful data platforms on Azure. As a Senior Azure Data Engineer, you'll collaborate with stakeholders to gather requirements and define project goals.
You'll be responsible for designing and implementing end-to-end data solutions on Azure, including data ingestion, transformation, modeling, storage, and analytics. Your expertise in ETL/ELT pipelines will ensure scalability, efficiency, and quality.
Azure services such as ADF (Azure Data Factory), Azure Databricks, Synapse, Azure SQL Database, and Data Lake Storage are key to your success. You'll also work with cloud best practices using the Well-Architected Framework (WAF) and Cloud Adoption Framework (CAF).
In addition, you'll provide technical leadership and support across the entire project lifecycle. Your strong problem-solving skills, attention to detail, and ability to work independently are essential for this role.
The ideal candidate has 5+ years of experience in Azure Data Engineering or solution architecture. Hands-on experience with key Azure services is necessary, along with strong background in data modeling for analytics and reporting. Experience designing ETL/ELT workflows and ingesting data from structured/unstructured sources is also required.
This role offers the opportunity to work with real-time data processing tools, data cataloging and governance tools, and DevOps practices in data environments.
Key Responsibilities:
- Design and implement end-to-end data solutions on Azure
- Develop robust ETL/ELT pipelines using SQL and Python
- Architect data solutions leveraging Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, and Data Lake Storage
- Build and maintain efficient data models to support reporting and analytics
- Create architecture diagrams, technical documentation, and implementation plans
- Set up and manage CI/CD pipelines and deployment automation using Azure DevOps or similar tools
- Apply cloud best practices using WAF and CAF
- Implement data security, governance, and monitoring using Azure-native tools
Required Skills & Qualifications:
- 5+ years of experience in Azure Data Engineering or solution architecture
- Hands-on experience with key Azure services including ADF (Azure Data Factory), Azure Databricks, Synapse, Azure SQL Database, and Data Lake Storage
- SQL Expert - Advanced experience in writing, optimizing, and troubleshooting complex SQL queries, stored procedures, and database performance
- Strong Python Skills - Proficient in Python for data manipulation, transformation, and scripting within data engineering pipelines
- Strong background in data modeling for analytics and reporting, including dimensional modeling techniques
- Experience designing ETL/ELT workflows and ingesting data from structured/unstructured sources (CSV, JSON, Parquet, APIs)
- Familiarity with CI/CD processes, Git, pull requests, and release management
- Knowledge of Azure security best practices, including IAM, encryption, and role-based access
- Proficiency in monitoring tools like Azure Monitor, Log Analytics, and Databricks utilities
- Strong problem-solving skills, attention to detail, and ability to work independently
- Experience with PySpark or Spark in Databricks
- Exposure to real-time data processing tools (e.g., Event Hub, Stream Analytics)
- Knowledge of data cataloging and governance tools (e.g., Azure Purview)
- Familiarity with DevOps practices in data environments
About Us:
We are a Microsoft Data and AI Solution Partner dedicated to delivering transformative data and AI-driven solutions. We collaborate with some of the best ASX-listed companies and medium-sized businesses, working closely with Microsoft to create measurable value for our customers.
Contact Information:
For more information about this job opportunity, please contact us at [insert contact information].
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