Data Platform Engineer (Azure AI)/Data Engineer with Azure/Azure Data Platform Engineer/Senior Azure Data Engineer/Data Platform Technical Lead

Programmers.io; Redmond; On-site; AUD 171,000 - 270,000; Full time

Job summary

Programmers is seeking an hands-on Azure Data Solutions Engineer to build scalable data platforms on Azure. You will work on end-to-end data engineering, analytics, and cloud-native services, with emphasis on REST APIs and .NET integration.

You will collaborate with data teams to modernize legacy platforms, develop ETL/ELT pipelines, and implement CI/CD, monitoring, and security in production environments.

Qualifications

• Proven experience with Azure data services and data platforms.
• Strong ETL/ELT, data modeling and data warehousing skills.
• Hands-on with ADLS Gen2, Delta Lake, lakehouse architectures.

Responsibilities

• Build scalable Azure data platforms and ETL/ELT pipelines.
• Develop data solutions using Databricks, Spark, Synapse, and ADF.
• Design REST APIs and backend services using C#/.NET.
• Implement microservices, event-driven architectures, and cloud integrations.
• Modernize legacy data platforms and support cloud migrations.
• Maintain CI/CD pipelines, monitoring, security, and production operations.

Skills

ADLS Gen2

Delta Lake

Lakehouse Architecture

ETL/ELT

Data Modeling

Data Warehousing

Tools

Databricks

Spark

Synapse

ADF

C#/.NET

Job description

Azure Data Solutions Engineer

Location: Redmond, WA- onsite

Job Type: Full-Time |

Hands-on Azure Data Engineer with strong .NET/API development experience and expertise in end-to-end data platform engineering, analytics, and cloud-native services

Must-Have Skills

• ADLS Gen2, Delta Lake, Lakehouse Architecture
• ETL/ELT, Data Modeling, Data Warehousing

Responsibilities

• Build scalable Azure data platforms and ETL/ELT pipelines.
• Develop data solutions using Databricks, Spark, Synapse, and ADF.
• Design REST APIs and backend services using C#/.NET.
• Implement microservices, event-driven architectures, and cloud integrations.
• Modernize legacy data platforms and support cloud migrations.
• Maintain CI/CD pipelines, monitoring, security, and production operations.

Preferred

• AI/ML or AI-enabled analytics experience