Overview
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Financials
Overview
BigID uses machine learning to discover, classify and govern sensitive data across enterprise systems. Founded in 2016 in New York, it built its reputation on identity-aware data discovery for privacy regulations. The platform now covers artificial intelligence data governance and risk posture management.
News
Cloud Data Security: Risks, Best Practices & How to Protect Cloud Data
Cloud data security has changed. Sensitive data no longer lives in a handful of databases or cloud storage buckets. It spans SaaS applications, data warehouses, data lakes, object stores, collaboration platforms, development environments, cloud-native ser
Read more
Report
Data Breach Prevention: 12 Strategies to Reduce Data Breach Risk
Data breach prevention has changed. Attackers no longer rely on a single path to sensitive information. They exploit software vulnerabilities, compromised credentials, third parties, cloud environments, excessive permissions, social engineering, APIs, and
Read more
Report
AI Risk Management: Frameworks, Risks & Best Practices
AI risk has changed. Organizations are no longer managing only machine learning models built and controlled by data science teams. They are deploying generative AI applications, copilots, retrieval-augmented generation (RAG), third-party AI services, AI-e
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Report
Your Data Strategy Is Not a Technology Roadmap
Ask an organization to show you its data strategy and there is a good chance you will see a technology roadmap. Cloud migration. A new data platform. Data lakehouse consolidation. Master data management. A catalog rollout. Real-time pipelines. AI infrastr
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Report
COPPA Compliance Checklist: Children's Online Privacy Protection Act
For years, many organizations treated COPPA compliance primarily as a parental consent requirement. That is no longer enough. The Federal Trade Commission updated the Children's Online Privacy Protection Rule in 2025, strengthening requirements around chi
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Report
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Technologies
Tech DNA
Groovy
Python
Amazon EKS
AWS
QA
Groovy
Python
Amazon EKS
AWS
CI/CD
Datadog
Docker
Git
GitHub Actions
GitLab CI
Jenkins
Kubernetes
Terraform
GitHub
GitLab
Other
Rest API
Confluence
Jira
Stack modernity
76/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python
1 job
Required
Groovy
1 job
Required
Rest API
1 job
Required
Terraform
1 job
Required
Confluence
1 job
Required
GitHub Actions
1 job
Required
Datadog
1 job
Required
GitLab CI
1 job
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
21%
CI/CD
17%
AWS
17%
Kubernetes
15%
Docker
14%
Terraform
11%
Share of companies in the same industry that use each technology.
Stack changes
GitLab
Aug 2026
GitHub
Aug 2026
Terraform
Aug 2026
Rest API
Aug 2026
Python
Aug 2026
Kubernetes
Aug 2026
Jira
Aug 2026
Jenkins
Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
VetsEZ
Bosch
GoDaddy
Booz Allen Hamilton
Accenture
Endava
Growth
Hiring Momentum
38/100
Slowing
Open positions
1
0 opened / 0 closed in 30 days
ATS activity
Every ~1 hours
08/30/2026
Hiring Dynamics
0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
DevOps
100% ▼
Activity Timeline
Added Terraform to stack
Aug 2026
Added Rest API to stack
Aug 2026
Added Python to stack
Aug 2026
Added Kubernetes to stack
Aug 2026
Added Jira to stack
Aug 2026
Added Jenkins to stack
Aug 2026
Added Groovy to stack
Aug 2026
Added GitLab CI to stack
Aug 2026
Added GitHub Actions to stack
Aug 2026
Added Git to stack
Aug 2026
Added Docker to stack
Aug 2026
Added Datadog to stack
Aug 2026
Jobs
≈ $45k – $114k per year (Estimated) • In office • 5+ years exp
Groovy
Python
Amazon EKS
AWS
CI/CD
Datadog
Docker
Git
GitHub Actions
GitLab CI
Jenkins
Kubernetes
Rest API
Terraform
GitHub
GitLab
Management
Confluence
Jira
Apply