Architecture Data Operations Specialist
Listing checked October 13, 2026 · pay as published by Terac
Overview
Terac seeks architecture operations specialists for a paid research interview about how firms turn messy operational data into clean, structured inputs for post-training evaluation. The study runs as a remote video session where you describe your firm's end-to-end data workflow, review hypothetical transformation scenarios, and give feedback on potential improvements. You also cover the tools and practices your team uses for internal architectural data management. The conversation centers on post-training evaluations and data structuring workflows, so direct experience with both matters.
What You'll Do6
- 1Explain how your architecture firm converts messy operational data into structured evaluations during the interview.
- 2Walk the interviewer through day-to-day data management tasks and post-training workflows.
- 3Review hypothetical data structuring scenarios and assess their efficiency.
- 4Share feedback on possible workflow improvements for those scenarios.
- 5Describe internal architectural data tools and methodologies your team uses.
- 6Discuss challenges your firm faces when organizing specialized architectural data.
Requirements5
- 1Hold professional experience handling data operations or workflows inside an architecture firm.
- 2Show hands-on experience converting unstructured operational data into structured formats.
- 3Know post-training evaluations and internal data management practices.
- 4Comfortable discussing technical workflows in a remote video interview.
- 5Have direct involvement with internal data management practices at an architecture firm.
Who Should Apply
The ideal candidate works in an architecture firm as an operations specialist, data manager, BIM manager, or technical architect and handles operational data as part of the role. You should have direct practice converting unstructured data into structured formats and can name the tools and methodologies your team uses. Candidates who score low often speak in broad terms about data without naming the firm's actual workflows, tools, or post-training evaluation practices. The role is less suitable for architects whose work focuses on design or project delivery with no responsibility for internal data operations. If you cannot share concrete examples of data structuring from a firm setting, this study will not be a fit.
Salary Insight
The listing does not state a rate. Terac describes the study as paid, and compensation details may come up during the screening or scheduling step. Ask about the honorarium or payment structure before you commit time, and note if the interview includes scenario review along with the main conversation.
Pay and demand for Data Engineering roles
AggregatedTypical pay
$75/hour
This role
Pay not disclosed
Most Data Engineering roles pay $50–$95 per hour.
Based on 137 similar roles that publish pay · 26 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 170
- Listed in last 30 days
- 133
- Remote
- 90%
Hiring most right now: micro1 (82) · SME Careers (17) · Mercor (16)
Most requested skills · share of roles
- Python38%
- sql15%
- data analysis8%
- machine learning8%
Figures from Data Engineering roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
Undisclosed by Terac
Comparable roles pay
137 roles$50 – $95/ hr
Not this role’s pay. Terac has not published a range.
Confirmed during Terac profile screening.
Required Skills
Application Tip
In your application or screening, name the exact architecture firm data tools you use, such as BIM platforms, internal databases, or evaluation templates, and describe one real project where you turned unstructured operational data into a structured evaluation. Quantify the scope, for example the number of projects, records, or team members involved, so your data operations experience stands out and connects to post-training evaluation work.
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Your resume is scanned against this role’s requirements to check qualification fit.
2Screened before the employer sees it
Only profiles that clear screening are passed on.
3Outcome by email
We notify you at the address on your resume once the screening is reviewed.
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