Why pre-screen enterprise data architects before the technical panel
Data architecture decisions are unusually hard to reverse. A model that fits the first two systems becomes the thing forty teams work around, and the cost lands years later in the form of reconciliation jobs nobody can retire. Architects worth hiring have lived with their own decisions long enough to regret one. A short screen asks what they would design differently today.
What actually matters when screening Enterprise Data Architect candidates
- 01
Technical proficiency
Test depth in dimensional and 3NF modelling, Data Vault, and platforms like Snowflake, Databricks, or Synapse; ask which catalogue and lineage tools they configured (Collibra, Purview, Alation).
- 02
Systems and trade-offs
Probe target-state architecture decisions: batch versus streaming, lakehouse versus warehouse, MDM hub style, and how they handled cost, latency, and vendor lock-in constraints.
- 03
Evidence and rigour
Assess how they proved architecture worked: data quality SLAs, reconciliation results, query performance benchmarks, GDPR or BCBS 239 lineage evidence presented to governance boards.
- 04
Collaboration and communication
Look for evidence of aligning engineers, data stewards, and business owners: architecture review boards, standards documents adopted, and pushback handled from teams wanting to bypass the model.
Pre-screening questions to ask Enterprise Data Architect candidates
12 questions grouped by what they test. Ask the same set in every screen and score answers on a consistent scale, or send them as an async video screen and compare answers side by side.
Architectures that ran
3 questions01What is your experience with data modelling and information system design?
Listen forModels built for systems still in production, with the domain understood before the schema.
Modelling described as a diagramming exercise, or designs that never reached production.
02Have you implemented data solutions that improved accuracy or efficiency?
Listen forA specific improvement with a measured before and after, and their own contribution clear.
Benefits stated without measurement, or improvements claimed for team-wide programmes.
03Can you describe a data solution that had a significant effect on the business?
Listen forA decision or process that changed because of the work, described in business terms.
Impact described as a delivered platform, or no business outcome they can point to.
Modelling from evidence
4 questions04Which modelling tools and techniques do you use regularly?
Listen forTechniques chosen for the workload, with a reason a particular modelling style suited the case.
One modelling approach applied everywhere, or style chosen from familiarity alone.
05How comfortable are you with warehouse design and large-scale data work?
Listen forStorage, partitioning and query patterns designed together, with real data volumes considered throughout.
Design done without knowing data volumes, or query patterns discovered after go-live.
06How proficient are you in SQL and other query languages?
Listen forGenuinely hands-on, able to profile queries and inspect the data before designing around it.
Query work delegated entirely, or no ability to check what the data actually contains.
07What experience do you have with cloud data platforms?
Listen forPlatforms run at scale with cost behaviour understood, including what drives the monthly bill.
Platform choice made on features alone, or cost discovered after the first invoice.
Governance enforced
3 questions08Can you explain your experience with data governance?
Listen forOwnership assigned to named people, with standards enforced through review rather than documents.
Governance described as a policy set, or standards nobody was required to follow.
09What do you do to ensure data security and privacy in an architecture?
Listen forClassification, access control and retention designed in, with personal data located and tracked.
Security handled at the perimeter, or nobody knowing where personal data actually sits.
10What steps do you take when data or query results are inconsistent?
Listen forDiscrepancies traced to source with the cause fixed, rather than reconciled downstream forever.
Reconciliation jobs added permanently, or inconsistencies accepted as normal.
Business can follow
2 questions11What is your experience standardising integration between systems?
Listen forInterfaces and contracts agreed across teams, with versioning handled so changes do not break users.
Point to point integrations accumulating, or interface changes announced after release.
12Can you describe explaining a complex technical decision to non-technical stakeholders?
Listen forTrade-offs explained in cost and risk terms, with the decision made jointly rather than announced.
Decisions justified by technical preference, or stakeholders left to accept it on trust.
How to score responses
Score every candidate on the same four criteria immediately after the screen. At this stage you are shortlisting for panel interviews, not making the final call.
Technical proficiency
35%5Names concrete modelling patterns and platform internals, explaining why they chose Data Vault over star schema on a specific domain.
Systems and trade-offs
25%5Walks through a reference architecture they authored, naming rejected options and the cost or latency numbers behind each trade-off.
Evidence and rigour
25%5Cites measured outcomes such as reduced pipeline runtime, quality rule pass rates, or audit findings closed after their design landed.
Collaboration and communication
15%5Describes running design authority forums and winning adoption of standards without formal authority, with named stakeholder groups and outcomes.
A model that fits two systems becomes what forty teams work around. A one-way video screen asks about regrets.
Try it on HirevireScreening FAQ
Process basics
How long should a pre-screening round for this role take?
Fifteen minutes across eight to ten questions, answered async. Enough to establish architectures they delivered, test their modelling depth, and hear how they handle governance.
How much hands-on ability should I expect?
Enough to write the queries and read the pipeline code. An architect who cannot inspect the data will design against how systems are described rather than how they behave.
Evaluating answers
What is the strongest signal when screening this role?
A decision they would reverse. Architects who stayed long enough to live with their designs have one and can explain the cost. Anyone with no regrets left before the bill arrived.
How do I judge their governance work?
Ask what happened when a team ignored the standard. Real answers describe a negotiation and often a compromise. Anyone whose standards were always followed did not have any.
Go deeper on this role
Sanat has been hiring since 2012 and watching the recruitment industry change up close ever since, and turned that screening process into Hirevire's video screening platform. LinkedIn
