Resume gap analysis for Data Architect
Data architecture depth is stated, never evidenced
Most Data Architect resumes list Data architecture as a bullet in a skills bar. Job descriptions ask what you built with it. Attach Data architecture to one project, its scope, and the result.
No numbers against platform cost per query
Hiring managers for this role scan for platform cost per query and data quality score. A resume without those figures reads as a data architect who was present, not one who moved anything.
Snowflake listed, Informatica missing
JDs for this role usually pair Snowflake with Informatica. Naming only one signals partial coverage of the workflow and drops your keyword match.
Data modelling and Governance frameworks buried under duties
Data modelling and Governance frameworks are core screening keywords for Data Architect openings, but they often sit at the bottom of a paragraph. An ATS weights the first lines of each role far more heavily.
Scope of ownership is unclear
"define the target-state data architecture and standards" means something different at a 5-person team and a 500-person org. State team size, budget, volume, or user count so the reviewer can place your Master data management experience.
Certifications and qualifications not surfaced
CDMP, AWS Certified Data Analytics Specialty appear in the preferred section of most Data Architect JDs. If you hold one, it belongs near the top, not in a trailing "Others" line.
Responsibilities
- define the target-state data architecture and standards
- govern modelling, lineage and access patterns
- guide platform and tooling decisions