Solutions Architect applicants have rated the interview process at Meta with 3.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 33% positive. To compare, the company-average is 56.5% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Meta as a Solutions Architect according to 3 Glassdoor interviews include:
Phone interview: 50%
One on one interview: 25%
Presentation: 25%
Here are the most commonly searched roles for interview reports -
Recruiters were super helpful during the process, they take time to prepare you and provide feedback after the interview process. 5-stars to facebook recruitment team! Here re the steps:
1. Recruiter screening
2. Technical screening - SQL test
3. Onsite interviews
- technical - sql test
- collaboration
- hiring manager
- business retrospective
- pseudo customer meeting
Interview questions [1]
Question 1
What did you do when you noticed that a project you were leading was off-track?
I applied through an employee referral. I interviewed at Meta in Dec 2020
Interview
quick call with HR to describe the role and the candidate fit.
Eventhough the HR said the role does not require any coding, in the interview they hiring manager told the opposite :-(
coderpad technical interview
Interview questions [1]
Question 1
SQL Coding (45 minutes): The goal of this interview is to determine whether you can build, manipulate, and perform efficient data retrieval of databases using SQL. Please be prepared to solve questions involving SQL constructs, Data Transformation and Optimization Concepts.
LANGUAGES
When using SQL, you can expect to be assessed on some subset of the following:
Ability to complete data processing, manipulation, and analysis tasks using SQL
Ability to use joins, subqueries; knowledge of aggregate and analytical functions
Working knowledge of the differences between joins (left, inner, outer, etc.)
Ability to work with case statements, union and union all
Work with concepts including Distinct, Random Sampling, De-Duplication, Optimization
Apply the results of your analysis to make product decisions or suggestions
Basic data visualization commands