Azure Data & Databricks Framework Engineer

Abercrombie & Fitch Co.; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Abercrombie & Fitch Co. is seeking a Framework Engineer to build and support Azure-based data and analytics frameworks with Databricks as the primary compute platform.

The role focuses on reusable ingestion patterns, platform standards, and enabling teams to deliver scalable data solutions. You will work across Azure Data Factory, Databricks, ADLS, and related services, driving modernization from on-prem to Azure and collaborating with DevOps and enterprise teams.

Qualifications

• Strong hands-on engineering skills to build and support data platforms on Azure.
• Experience implementing reusable ingestion and transformation patterns at scale.
• Ability to translate platform standards into practical delivery and collaborate with partners.

Responsibilities

• Implement and maintain Azure and Databricks frameworks, standards, accelerators, and reusable ingestion/transformation patterns.
• Migrate data workloads from on-prem to Azure using Databricks, ADLS, ADF, and related services.
• Contribute to metadata-driven frameworks for large-scale ingestion across batch, streaming, and near real-time patterns.
• Partner with engineering, enterprise architecture, and technology teams to apply integration standards and deliver scalable, secure solutions.
• Work with DevOps to implement CI/CD pipelines, automated testing, and release processes for ADF and Databricks solutions.
• Contribute to playbooks and enablement materials that improve knowledge sharing and adoption of platform standards through C4E.
• Participate in code reviews and provide design feedback on Azure, Databricks, and modern data engineering practices.

Skills

Azure

Databricks

CI/CD

Data pipelines

Collaboration

Tools

Azure Data Factory

ADLS

Databricks

Job description

Abercrombie & Fitch Co. is seeking a Framework Engineer to build and support Azure-based data and analytics frameworks with Databricks as the primary compute platform.

The role focuses on reusable ingestion patterns, platform standards, and enabling teams to deliver scalable data solutions. You will work across Azure Data Factory, Databricks, ADLS, and related services, driving modernization from on-prem to Azure and collaborating with DevOps and enterprise teams.