Engineer, DevOps

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

Job Description:

We are seeking a Framework Engineer who can build and support Azure-based data and analytics frameworks with Databricks as the primary compute platform. This role is focused on implementing reusable ingestion and transformation patterns, strengthening platform standards, and enabling engineering teams to deliver reliable data solutions at scale.

In this role, you will implement and maintain modern data platform frameworks across Azure Data Factory, Databricks, ADLS, and related services. This includes contributing to metadata-driven ingestion patterns (batch, streaming, and near real-time), supporting CI/CD and automated testing practices, and helping teams adopt shared accelerators, playbooks, and engineering standards through the Azure Data and Analytics Center for Enablement (C4E).

You will partner with engineering, enterprise architecture, and DevOps teams to deliver scalable, secure data integrations and support modernization from on-prem platforms to Azure. Success in this role requires strong hands‑on engineering skills, the ability to translate platform standards into practical delivery, and clear collaboration with application and business partners.

This role will report directly to the Manager, Data & Analytics DevOps.

What Will You Be Doing?

• Implement and maintain Azure and Databricks frameworks, standards, accelerators, and reusable Data Factory/Databricks ingestion and transformation patterns




• Build and support migration of data workloads from on-prem technologies onto 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, flexible, and 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, onboarding, and adoption of platform standards through C4E




• Participate in code reviews and provide design feedback in Azure, Databricks, and modern data engineering practices




• Support modernization from incumbent technologies (e.g., Hadoop, Netezza, legacy BI) to Azure, Databricks, Snowflake, Power BI, and related cloud services




• Deliver framework and integration solutions through design, development, testing, deployment, and production support, with guidance from senior engineers as needed

What Do You Need To Bring?

• Key Proficiencies include:




• Requirements:

Company Description

Abercrombie & Fitch Co. (A&F Co.) is a global, digitally led omnichannel specialty retailer of apparel and accessories catering to kids through millennials with assortments curated for their specific lifestyle needs.

The company operates a family of brands, including Abercrombie brands and Hollister brands, each sharing a commitment to offer products of enduring quality and exceptional comfort that support global customers on their journey to being and becoming who they are. Abercrombie & Fitch Co. operates stores under these brands across North America, Europe, Asia and the Middle East, as well as the e-commerce sites abercrombie.com, abercrombiekids.com and hollisterco.com.

Learn more about A&F Co. by visiting our corporate website here.

ABERCROMBIE & FITCH CO. IS AN EQUAL OPPORTUNITY EMPLOYER.