Larger companies often run analytics, data engineering and machine learning on Databricks. If that's where your people data lives, it's where hiring data should go too. Here's what the NTRVSTA Databricks integration is for, how data and talent teams use it together, and what setup needs.
What the Databricks integration does
NTRVSTA brings interview data into Databricks for hiring analytics and reporting. Your data team can then govern it, model it and report on it with the same pipelines and permissions they use for HR, finance and product data.
The value for a talent leader is having hiring treated as a real data domain. Instead of quarterly slides built from exports, you get recurring reports on the first round that your data team maintains like any other business metric.
How teams use NTRVSTA with Databricks
- Hiring forecasts. Data teams combine first-round pass rates with open requisitions to estimate how many interviews each team needs to hit its plan.
- Signal studies. Compare NTRVSTA's score breakdown (technical skills, English proficiency, communication) against later performance data to learn which skills predict success in each role family.
- Global hiring views. With interviews in multiple languages and 24/7 candidate scheduling, international teams can compare completion and drop-off by country.
- Fairness reporting. Track selection rates by group on your own data. NTRVSTA publishes its independent NYC Local Law 144 bias audit on our compliance page.
- Hiring data for workforce planning models. Data science teams add first-round volumes and pass rates to workforce planning models, so headcount plans reflect how hard each role is to fill.
A practical way to begin is one shared question between talent and data teams, for example whether interview scores for a role family predict first-year performance. Answering one question well builds trust in the data and shows which other hiring reports are worth the effort to build and maintain.
Setting it up
Our team works with your data engineers to connect Databricks. Setup takes a few days for most companies, depending on customization. A Databricks workspace admin needs to provide access and agree on where the data goes.
Questions about governance or data ownership? Raise them on a demo call and we'll walk through them with your team.
About Databricks
Databricks describes itself as "a unified platform for data, analytics and AI." Its site lists data engineering (ETL and orchestration for batch and streaming data), serverless data warehousing for SQL analytics, governance, business intelligence, and building and deploying ML and generative AI applications.
Related integrations
- NTRVSTA + Snowflake
- NTRVSTA + BigQuery
- NTRVSTA + PostgreSQL
- NTRVSTA + SAP SuccessFactors for enterprise HR records.
- Read our explainer on adverse impact before building fairness reports.
Questions
Does NTRVSTA work with Databricks?
Yes. NTRVSTA integrates with Databricks, so interview data can be brought into your platform for hiring analytics and reporting. We connect it with your data team. It fits companies where Databricks is already the main home for HR, finance and business data.
How long does Databricks setup take?
Most teams are set up in a few days, depending on customization. You need a Databricks workspace admin or data engineer to grant access and choose where data lands. Decide in advance who owns the hiring data in Databricks and which teams may read it, since that speeds up setup.
Do candidates need to know we use Databricks?
No. Candidates take the interview from a link and never touch Databricks. It is only used by your internal data team. Their interview is the same live, adaptive experience either way, taken on their own schedule, 24/7.
Start with the interview itself. Book a 20-minute demo, or take a sample AI interview to see what candidates experience.
