Data Architect job description template

Last updated 2026-10-22

Short answer

A good data architect 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 data architect 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.

Data Architect

About the role
We are looking for a Data Architect to join our team. You will define data models and storage layers.

Responsibilities
- Define data models and storage layers.
- Set standards for pipelines, naming and access.
- Design the integration of source systems.
- Work with governance on ownership and quality.
- Review designs from data engineering teams.

Required
- Data modelling (dimensional and relational)
- Data warehouse and lake design
- SQL at depth
- ETL and ELT patterns
- Data governance and quality

Preferred
- Snowflake, Databricks or BigQuery
- Streaming (Kafka)
- Master data management
- Metadata and lineage tools
- Cloud data services

Tools and stack
Modelling tools, Snowflake, Databricks or Redshift, Airflow or similar orchestrators, Data catalog and lineage tools, SQL, Cloud storage and security services

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.

  • Define data models and storage layers.
  • Set standards for pipelines, naming and access.
  • Design the integration of source systems.
  • Work with governance on ownership and quality.
  • Review designs from data engineering teams.

Required skills

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

  • Data modelling (dimensional and relational)
  • Data warehouse and lake design
  • SQL at depth
  • ETL and ELT patterns
  • Data governance and quality

Preferred skills

Use these to rank candidates who meet the required list.

  • Snowflake, Databricks or BigQuery
  • Streaming (Kafka)
  • Master data management
  • Metadata and lineage tools
  • Cloud data services

Other titles this role appears under

Search and post under the variants your clients use.

  • Data Architect
  • Enterprise Data Architect
  • Big Data Architect
  • Cloud Data Architect

Seniority guide

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

  • Mid: models one domain.
  • Senior: sets the platform design.
  • Principal: sets enterprise data direction.

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.

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