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Data ArchitectJob Description

Everything recruiters need to write, post, and fill a data architect role—fast.

Job Description Sample

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Job Title: Data Architect

Location: Remote/Hybrid

Type: Full-time

About the Role:

We are seeking an experienced Data Architect to lead the design and implementation of our enterprise data architecture strategy. The ideal candidate will combine deep technical expertise with strategic thinking to create scalable data solutions that drive business value. This role requires collaboration with cross-functional teams to establish data governance frameworks and ensure data quality standards across the organization.

Key Responsibilities:

  • Design and implement enterprise-wide data architecture frameworks and strategies
  • Create and maintain data models, schemas, and data flow diagrams
  • Establish data governance policies and ensure regulatory compliance
  • Collaborate with stakeholders to translate business requirements into technical specifications
  • Develop data integration solutions and optimize data pipeline performance
  • Lead the evaluation and selection of data management technologies
  • Mentor team members on data architecture best practices
  • Ensure data security and privacy standards are maintained across systems

Perks:

  • Competitive salary and equity package
  • Comprehensive health, dental, and vision coverage
  • Flexible remote work options
  • Professional development allowance
  • 401(k) matching

Data Architect Responsibilities

Hiring a data architect? Here's what you can expect them to handle:

  • Define and implement enterprise data architecture strategy and roadmap
  • Design scalable data models and database structures
  • Establish data governance frameworks and compliance standards
  • Lead technical decision-making for data infrastructure
  • Optimize data integration and migration processes
  • Create architecture documentation and technical specifications
  • Mentor junior team members and provide technical guidance
  • Collaborate with stakeholders to align solutions with business needs
Data Architect Job Description

Qualifications to Be a Data Architect

Here's what a solid candidate typically brings to the table:

CheckmarkBachelor's degree in Computer Science, Information Systems, or related field
Checkmark7+ years of experience in data architecture or similar role
CheckmarkStrong background in database design and data modeling
CheckmarkProven experience with data governance and compliance
CheckmarkExpert knowledge of data warehousing concepts

Data Architect Prerequisites

Before you even think of hiring, make sure your candidates have:

CheckmarkExperience with cloud platforms (AWS, Azure, or GCP)
CheckmarkStrong understanding of data security principles
CheckmarkExcellent problem-solving and analytical skills
CheckmarkProven leadership experience in technical roles
CheckmarkProfessional certifications in data architecture or related fields

Data Architect Hard Skills

The “must-haves” on every recruiter's checklist:

CheckDatabase Systems: Oracle, PostgreSQL, MongoDB
CheckData Modeling: ERD, dimensional modeling, data warehousing
CheckProgramming Languages: SQL, Python, Java
CheckETL Tools: Informatica, Talend, Apache NiFi
CheckCloud Platforms: AWS, Azure, Google Cloud
CheckBig Data Technologies: Hadoop, Spark, Hive
CheckData Governance: Data quality tools, metadata management
CheckSecurity Protocols: Encryption, access control, compliance frameworks

Data Architect Soft Skills

Tech skills get them in the door—soft skills help them stick around.

CheckStrategic thinking and planning
CheckCross-functional team leadership
CheckStakeholder communication
CheckProblem-solving and analysis
CheckProject management
CheckMentoring and knowledge sharing
CheckChange management
CheckBusiness acumen

Related Sections

Job Description SampleResponsibilitiesQualificationsSkills RequiredData Architect SalaryFAQ

Frequently Asked QuestionsAbout Data Architect Hiring

Data architects focus on high-level design and strategy, while data engineers implement the solutions. When interviewing, focus on system design questions for architects and coding/implementation questions for engineers.

Use whiteboard sessions with real business scenarios to evaluate their ability to design scalable solutions. Have them explain their design choices and tradeoffs in detail.

In 2025, prioritize candidates with strong cloud architecture experience while ensuring they have solid traditional data modeling foundations. The ability to bridge both is crucial.

Present scenarios involving data privacy regulations and ask for specific examples of implementing governance frameworks. Look for experience with actual compliance projects.

Pair the architect with 2-3 data engineers and a data governance specialist. This creates an effective team balance for both strategic planning and implementation.

Tools and Programs Data Architect Use

Here's what their digital toolbox might look like:

Data Modeling

ERwin•ER/Studio

Database Management

Oracle•PostgreSQL

ETL Platforms

Informatica•Talend

Cloud Services

AWS•Azure

Visualization Tools

Tableau•Power BI

Version Control

Git•SVN

Project Management

Jira•Confluence

Documentation

Lucidchart•Draw.io

Job Description Examples

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