Data Engineering Platforms On Microsoft Azure

Tech Aalto Pte Ltd; City of Melbourne; On-site; AUD 140,000 - 190,000; Full time

Job summary

Tech Aalto Pte Ltd in Melbourne seeks an experienced Data Engineering Lead to design and build scalable Azure-based data platforms. You will lead the development of data pipelines, warehousing, and governance to support analytics across the organization.

The role requires deep SQL Server DBA expertise, Azure Synapse, ADF, and CI/CD practices, with a track record of delivering reliable, high-performance cloud solutions.

Qualifications

• Minimum of 10 years managing and maintaining large-scale databases.
• Bachelor’s degree in Engineering or related field (B.Tech/B.E.).
• Strong SQL Server DBA experience with design, maintenance, performance tuning, and troubleshooting.
• Hands-on experience with DevOps tools and CI/CD pipeline management.

Responsibilities

• Design and implement scalable data engineering platforms on Microsoft Azure.
• Lead the setup and management of Azure-based data engineering environments.
• Develop and maintain large-scale data warehousing solutions using Azure Data Factory (ADF) and Synapse Analytics.
• Collaborate with cross-functional teams to gather requirements and design optimized data processing pipelines and scalable architectures.
• Ensure high availability, reliability, and performance of cloud-based systems through effective monitoring and DevOps practices.
• Provide expert guidance on best practices for migrating data workloads to the Azure cloud environment.

Skills

Azure Cloud Platform

Azure Synapse Analytics

Azure Data Factory (ADF)

Data Engineering Platform Design

Gateway Configuration

Single Sign-On (SSO) Implementation

CI/CD and DevOps Integration

SQL Server DBA

Education

Bachelor’s degree in Engineering or related field (B.Tech/B.E.)

Job description

Job Description

Data engineering platforms on Microsoft Azure

Roles and Responsibilities

• Design and implement scalable data engineering platforms on Microsoft Azure.
• Lead the setup and management of Azure-based data engineering environments.
• Develop and maintain large-scale data warehousing solutions using Azure Data Factory (ADF) and Synapse Analytics.
• Collaborate with cross-functional teams to gather requirements and design optimized data processing pipelines and scalable architectures.
• Ensure high availability, reliability, and performance of cloud-based systems through effective monitoring and DevOps practices.
• Provide expert guidance on best practices for migrating data workloads to the Azure cloud environment.

Desired Candidate Profile

• Minimum of 10 years of experience in managing and maintaining large-scale databases.
• Bachelor’s degree in Engineering or a related field (B.Tech/B.E.).
• Strong expertise in SQL Server database administration, including database design, maintenance, performance tuning, and troubleshooting.
• Hands-on experience with DevOps tools and CI/CD pipeline management.

Key Skills

• Azure Cloud Platform
• Azure Synapse Analytics
• Azure Data Factory (ADF)
• Data Engineering Platform Design
• Gateway Configuration
• Single Sign-On (SSO) Implementation
• CI/CD and DevOps Integration