Talantix.io
Fujitsu•08.03.26
AI SCORE 8.5

Senior Azure Data Factory Application Developer - Remote

$120K–$150K/year
RemoteCloud Data Engineering
Azure Data Factory•Azure Data Lake Storage•Azure Databricks•Azure Synapse Analytics•SQL•Python•PySpark

About the Role

We are looking for a Senior Azure Data Factory Application Developer to join our dynamic team remotely. In this role, you will design and build Azure data pipelines and data platforms, ensuring performance, security, and reliability of data workloads. You will work on exciting analytics and AI/ML use cases using Azure services.

What You'll Do

  • Design and develop pipelines in Azure Data Factory (ADF) for data ingestion from multiple sources.
  • Manage data lake structure in Azure Data Lake Storage (ADLS Gen2) and ensure proper partitioning and file formats.
  • Develop PySpark/Spark SQL notebooks in Azure Databricks for scalable data transformations.
  • Build and manage analytics solutions using Azure Synapse Analytics, supporting performance tuning for queries.
  • Create strong data models based on reporting needs and maintain documentation for data mappings.
  • Support ML use cases with data preparation and feature pipelines using Azure Machine Learning.
  • Write optimized SQL and clean Python code for automation and data processing tasks.
  • Implement security best practices for data access and storage, ensuring compliance with client policies.

Requirements

  • 4+ years of experience as an Azure Data Engineer with strong hands-on experience in Azure Data Factory (ADF).
  • Proficiency in Azure Data Lake Storage (ADLS Gen2) and Azure Databricks.
  • Strong SQL skills for complex queries and troubleshooting.
  • Experience with Python scripting and data processing, with exposure to ML being a plus.
  • Understanding of data modeling and ETL processes.
  • Experience integrating multiple Azure services for end-to-end data flow.

Nice to Have

  • Familiarity with Power BI for dashboards and performance basics.
  • Basic knowledge of Azure Functions or Logic Apps for automation.
  • Understanding of big data technologies like Hadoop and Spark.
  • Experience with Agile/Scrum methodologies.
  • CI/CD exposure for data deployments using Azure DevOps.

What We Offer

  • Competitive salary ranging from $120,000 to $150,000 annually.
  • Flexible remote work environment.
  • Opportunities for professional growth and development.
  • Access to the latest tools and technologies in cloud data engineering.
  • Supportive team culture with a focus on collaboration and innovation.
Why This Job8.5 of 10

This role offers a unique opportunity to work with cutting-edge Azure technologies in a fully remote setting, providing excellent salary and growth potential.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Extensive experience with Azure Data Factory, including hands-on knowledge of pipeline orchestration and integration with Azure Databricks and Azure Synapse Analytics to build robust data workflows.

→

Strong problem-solving mindset and self-motivated, with the ability to work independently in a remote environment while managing multiple projects and meeting deadlines.

→

Proficient in SQL and Python, with a solid understanding of data modeling and ETL processes, allowing for effective data transformation and analytics tailored to business needs.

Learning Resources

→Azure Data Factory Documentationguide
→Azure Data Factory - The Complete Guidecourse
→Getting Started with Azure Databricksarticle

Career Path

Senior Azure Data Factory Application Developer(Now)→Lead Data Engineer or Azure Data Architect(2-4 years)→Director of Data Engineering or Chief Data Officer(5-7 years)

Market Overview

Market Size 2024
$5.2B
Annual Growth
22.5%
AI Adoption
37%
Investment
+150%
Labour Demand
+30%
Avg Salary
$130K

Skills & Requirements

Required
Azure Data FactoryAzure Data Lake StorageAzure Databricks
Growing in Demand
Azure Machine LearningData GovernanceApache Spark
Declining
SSIS (SQL Server Integration Services)On-Premise Data Warehousing

Domain Trends

Increased Cloud Adoption
Organizations are migrating to cloud-based data solutions, with 83% of enterprise workloads expected to be in the cloud by 2025.
Focus on DataOps
The adoption of DataOps practices is increasing, with a 40% rise in organizations implementing DataOps frameworks to improve data pipeline efficiency.
Rise of Real-Time Analytics
Real-time analytics capabilities are becoming essential, with 70% of businesses prioritizing real-time data processing to enhance decision-making.

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