Boolean search strings for data architects: data modeling, warehouses, lakehouses, governance and the information architect collision

A data architect search has to find the people who design how an organization's data is modeled, stored, integrated and governed, and leave out the larger groups who build pipelines, administer databases or report on data, plus UX "information architects" and data center designers. The strings that work pair architect titles (data architect, enterprise data architect, data modeler, data platform architect) with design words such as logical data model, dimensional modeling, master data management and data governance, then name the platform. As of November 2026, the credentials worth searching include DAMA's CDMP, Snowflake's SnowPro Advanced: Architect, Databricks' Platform Architect accreditations and Salesforce's Platform Data Architect.

Below are ten strings by kind of data architecture, and what LinkedIn, Dice and Google support as of November 2026. For pipeline-focused roles, see Boolean search strings for data engineers; for the operators themselves, see Boolean search strings for recruiters.

Kinds of data architecture, tools and credentials that change what a data architect search finds

• DAMA's CDMP. DAMA International's CDMP page says the Certified Data Management Professional is based on the DAMA-DMBOK and lists three levels as of November 2026: Associate (less than two years of experience), Practitioner (2 to 10 years in data roles) and Master (10 or more years with leadership experience, plus a CV review). All levels take the mandatory Data Management Fundamentals exam; Practitioner and Master add two of seven specialty exams. DAMA says certification is valid for three years and is renewed with continued professional development.
• Snowflake. The SnowPro Advanced: Architect (exam ARA-C01) is aimed at people with two or more years of hands-on experience with Snowflake as an architect in a production environment.
• Databricks. Databricks' certification page lists AWS, Azure and GCP Platform Architect accreditations beside its Data Engineer Associate and Professional certifications, says certifications are valid for two years from the date awarded, and says the Hadoop Migration Architect exam is no longer available, so older profiles may still list it.
• Salesforce. Trailhead lists the Salesforce Certified Platform Data Architect, a sign of data model and data volume work inside Salesforce rather than enterprise data platforms.
• Cloud data certifications. AWS, Google Cloud and Microsoft data engineering certifications appear on many architects' profiles too; the data engineer strings cover them, and they fit here as optional OR terms.

Ten Boolean strings by kind of data architecture

Swap in the platform, industry and metro from your own intake; these are examples. Search on the work and the credentials, never on a term that stands in for age, sex, race, religion, national origin, disability or veteran status.

Modeling and warehouses

1. Enterprise data architect — LinkedIn Recruiter, Job titles + Keywords filters
("data architect" OR "enterprise data architect" OR "principal data architect") AND ("logical data model" OR "conceptual data model" OR "canonical data model") AND ("data governance" OR "master data management" OR mdm) NOT ("information architect" OR "data center" OR recruiter)

2. Data modeler — LinkedIn general search
("data modeler" OR "data modeling" OR "data architect") AND (erwin OR "er/studio" OR "physical data model") AND (normalization OR 3nf OR erd)

3. Warehouse or analytics architect — Dice resume search
("data warehouse architect" OR "analytics architect" OR "data architect") AND ("dimensional modeling" OR "star schema" OR kimball OR "data vault") AND (snowflake OR redshift OR bigquery OR synapse)

Platforms and cloud

4. Lakehouse architect — LinkedIn general search
("data platform architect" OR "data architect" OR "lakehouse architect") AND (databricks OR "delta lake" OR iceberg) AND (medallion OR "unity catalog" OR lakehouse)

5. Snowflake data architect — LinkedIn Recruiter, Keywords filter
("data architect" OR "snowflake architect" OR "cloud data architect") AND snowflake AND ("snowpro advanced" OR "data sharing" OR rbac OR "cost governance")

6. Cloud data architect — LinkedIn general search
("cloud data architect" OR "data architect") AND (aws OR azure OR gcp) AND ("data lake" OR lakehouse OR "data mesh") NOT ("data center" OR welder)

Governance, credentials and X-ray

7. Data governance or MDM architect — LinkedIn general search
("data governance architect" OR "mdm architect" OR "enterprise data architect") AND ("master data management" OR "data catalog" OR lineage) AND (collibra OR alation OR purview OR informatica)

8. CDMP-certified data professional — LinkedIn Recruiter, Keywords filter
("data architect" OR "data management" OR "data governance") AND (cdmp OR "certified data management professional" OR dmbok) NOT (recruiter OR instructor)

9. Salesforce data architect — LinkedIn general search
("salesforce data architect" OR "platform data architect" OR "salesforce architect") AND ("large data volumes" OR "data model" OR "data migration") AND ("sales cloud" OR "service cloud" OR "data cloud")

10. Public profiles by kind of work and metro — Google X-ray
site:linkedin.com/in "data architect" "data modeling" "snowflake" "minneapolis" -jobs -recruiter

What LinkedIn, Dice and Google actually support

As of November 2026, LinkedIn's Boolean help page requires AND, OR and NOT in capitals, supports quotes and parentheses, evaluates quotes first, then parentheses, NOT, AND and OR, and does not support wildcards, so "data modeler," "data modeling" and the British "data modeller" each need writing out. LinkedIn Recruiter's Boolean page lists stop words ignored in Keywords, including "and," "of" and "for," and warns that too many facets in one query can cause a search result issue, so keep the title block in Job titles. LinkedIn's premium search filters list Years of Experience and Seniority Level only in Recruiter and Sales Navigator.

Dice's Boolean guide supports parentheses, quotes, AND, OR and NOT, says its database fills in word endings automatically, and warns to use NOT sparingly because it removes anyone with the word anywhere in the resume. Google's search operators page documents quotes, site:, the minus sign and filetype:, but not OR, so string 10 uses none.

For checking credentials, DAMA's verification page says CDMP holders receive a digital badge whose metadata shows the issue date, the level achieved and the skills validated, which employers can use to confirm the certification. Trailhead runs a credential verification page for Salesforce credentials.

Narrowing by what the architect owns and how hands-on they are

Ask the client what the data architect will own. Some own the models: the conceptual, logical and physical designs every system follows. Some own the platform: how the warehouse or lakehouse is laid out, secured and paid for. Some own governance: master data, the catalog, lineage and the rules on who may use what. Each writes about their own part, and a strong modeler is not automatically a strong platform architect.

Then ask how hands-on the role is. Many data architects still write SQL and build models in dbt or the warehouse itself; others set standards and review designs. Migration work narrows further: moving off an on-premises warehouse leaves words such as "Teradata," "Netezza" or "Exadata" beside the cloud platform. For seniority, look for "enterprise data model," "data strategy," "architecture review board," "set modeling standards" and "data domains," against "supported" and "maintained." Regulated data (claims, payments, patient records) brings its own words; add them only when the client's domain needs them. When the role spans applications and integration as well as data, Boolean search strings for solutions architects covers the broader title.

False positives worth excluding with NOT

• Information architects. In UX, information architecture means organizing content and navigation. Exclude "information architect" and ux.
• Data center architects and designers. "Data center architect" contains both words of the title and describes facilities, power and cooling. Exclude "data center" and "critical facilities."
• Data engineers, when the role designs. Engineers write "data architecture" about pipelines they built. Require design words rather than excluding "data engineer," because many architects held that title first.
• Database administrators. DBAs write schemas, indexes and performance tuning. When the client wants a DBA, the database administrator screening questions fit that hire.
• BI developers. BI developers write "data model" about the models inside reporting tools such as Power BI. Exclude "power bi developer" and "report developer" for enterprise architecture roles; see Boolean search strings for data analysts for reporting hires.
• Vendors' presales teams. Sales engineers at data platform vendors list every architecture term. Exclude "sales engineer" and "account executive" unless the client wants presales.

A worked example: three passes on a warehouse migration search

An invented search, shown as it actually gets narrowed.

The modeling words removed the pipeline builders; the domain and migration words found the architects who have done this exact move. Add the domain block once the design block is working.

What a search cannot verify

A string can find someone whose profile names the right design work, platform and credential. It cannot show whether their models were adopted, whether they designed the platform or inherited it, or how they settle a fight between two teams over one definition of "customer." Check the CDMP badge and platform credentials with their issuers, then use the data engineer phone screen questions for the technical base, adding questions about modeling trade-offs and governance decisions, and the data engineer job description template as a starting point if the client has not yet separated the architect's work from the engineers'.