Home Data Architect Resume template
Data Architect resume template
A clean starting structure with example content grounded in what data architects actually do day to day, not generic filler. Download and replace the bracketed placeholders with your own details.
Which resume format should you use?
Reverse chronological
You have a steady work history. This is the format almost every recruiter and ATS expects by default.
Functional
You're changing fields or have gaps in your employment. Leads with skills rather than a job-by-job timeline.
Combination
You're early career or have worked consistently but for only a few employers. Blends a skills summary with a shorter chronological history.
This template uses the reverse chronological format: the one most data architects should default to, since most Australian recruiters and ATS software expect it.
Professional summary
Data Architect with experience designing enterprise data models, integration strategies and governance frameworks across cloud and on-premises environments. Skilled in aligning data architecture with business goals and Australian regulatory obligations. Known for translating complex requirements into scalable, secure and compliant data systems.
Key skills
- Data analysis
- Cloud infrastructure
- Cyber security
- Business requirements analysis
- Strategy development
- Process improvement
- Programming and software development
- Erwin Data Modeler
- Microsoft SQL Server
- Snowflake
- Databricks
- Collibra
- Stakeholder management
Experience: example bullet points
- Designed an enterprise data model covering customer and transaction domains, reducing duplicate data entry across three business units.
- Led a migration from on-premises data warehouse to Snowflake, cutting batch processing time from overnight to two hours.
- Established data quality rules and governance standards, improving data accuracy for a 30-person analytics team.
- Advised project teams on data architecture decisions, preventing costly rework on a multi-year platform program.
- Reviewed database performance and scalability, tuning queries to handle a threefold increase in data volume without additional hardware.
Education
A bachelor degree in computer science, information systems or a related discipline is the most common pathway, with many data architects holding a postgraduate qualification in data science, analytics or business administration, or industry certifications in data management or enterprise architecture.
Keywords an ATS is likely to scan for
Applicant tracking systems match your resume against terms in the job ad before a person ever sees it. Only include the ones that actually apply to your experience, but if a term below matches something you've done, use the same wording the job ad uses.
- Australian Privacy Principles
- Privacy Act 1988
- APRA CPS 234
- ACSC Essential Eight
- DAMA-DMBOK
- TOGAF
- ISO 8000
- Data governance
- Data modelling
- ETL/ELT
- Data warehousing
- Master data management
- Metadata management
- Data lineage
- Data quality
- Cloud migration
- SQL
- Snowflake
- Databricks
- Microsoft SQL Server
- Erwin Data Modeler
- Collibra
- Stakeholder management
- Business requirements analysis
Getting past ATS screening
- Match the specific skills, certifications and terms used in the job ad, not just your own wording for the same thing.
- Keep formatting simple: no tables, text boxes, columns, headers/footers or graphics. Parsers frequently drop content placed in these.
- Submit as .docx or PDF unless the job ad specifies otherwise.
- Use standard section headings (Experience, Education, Skills) rather than creative alternatives.
- List your core skills and technical competencies in their own section so a keyword scan can find them instantly.
This is a starting point, not a guarantee of interviews. Tailor every bullet point to your own real experience and the specific job ad.