Azure Data Factory Developer job description template

Last updated 2026-10-22

Short answer

A good Azure data Factory developer job description lists concrete responsibilities, separates required from preferred skills, names the tools and states contract type, location and work authorization. Use the template below and edit the bracketed fields.

Staffing teams write or rewrite job descriptions all the time: to post a requirement, to brief a recruiter or to tailor a resume. This Azure data Factory developer template is a starting point built from the skills and tools that decide a fit.

Copy-ready job description

Edit the bracketed fields for your requirement.

Azure Data Factory Developer

About the role
We are looking for an Azure Data Factory Developer to join our team. You will build Data Factory pipelines, datasets and triggers.

Responsibilities
- Build Data Factory pipelines, datasets and triggers.
- Load data from sources into Azure SQL or Synapse.
- Handle errors, retries and monitoring.
- Deploy through DevOps pipelines.
- Document data flows.

Required
- Azure Data Factory
- Azure SQL or Synapse
- Pipelines and triggers
- SQL
- Data integration patterns

Preferred
- Databricks
- Azure DevOps
- Power BI
- PySpark
- DP-203 certification

Tools and stack
Azure Data Factory, Azure SQL or Synapse, Mapping data flows, Azure DevOps, Key Vault, SQL

Employment type: [Contract / W2 / C2C / Full-time]
Location: [City, ST / Remote]
Duration: [months]
Work authorization: [accepted types]

Responsibilities explained

Each responsibility maps to something a candidate should be able to describe.

  • Build Data Factory pipelines, datasets and triggers.
  • Load data from sources into Azure SQL or Synapse.
  • Handle errors, retries and monitoring.
  • Deploy through DevOps pipelines.
  • Document data flows.

Required skills

Treat these as the screen. If a candidate cannot speak to them, they are rarely a fit.

  • Azure Data Factory
  • Azure SQL or Synapse
  • Pipelines and triggers
  • SQL
  • Data integration patterns

Preferred skills

Use these to rank candidates who meet the required list.

  • Databricks
  • Azure DevOps
  • Power BI
  • PySpark
  • DP-203 certification

Other titles this role appears under

Search and post under the variants your clients use.

  • Azure Data Factory Developer
  • ADF Developer
  • Azure Data Engineer
  • Azure ETL Developer

Seniority guide

Pick the level you need and state it plainly in the posting.

  • Junior: builds simple pipelines.
  • Mid: owns pipelines and deployment.
  • Senior: designs integration architecture.

Tailoring a resume to this description

When you submit a consultant, mirror the required skills and tools in the summary and the most recent role, using only experience the candidate really has. MatchWire’s resume tailoring drafts this from the candidate’s stored work history and the posting.

Frequently asked questions

How long should a job description be?

Long enough to list the responsibilities, required and preferred skills, tools and logistics, usually 300 to 500 words.

Should I list a rate in the description?

If the client allows it, a range helps candidates self-select. Otherwise state it as “rate to be discussed” and confirm it before submitting.