BigID Data Privacy Technical Architect
About the role
Job Summary
We are seeking a seasoned BigID Data Privacy Technical Architect with deep expertise in data privacy, governance, and enterprise architecture. The successful candidate will lead the design, implementation, and optimization of scalable BigID solutions that enable enterprise-wide data discovery, classification, governance, and regulatory compliance.
This role requires extensive hands-on experience with the BigID platform, cloud-based data architectures, and enterprise data governance frameworks. The ideal candidate will work closely with business, legal, compliance, security, and technology teams to deliver privacy solutions aligned with North American regulatory requirements and industry best practices.
Key Responsibilities
Solution Architecture
- Design and implement enterprise-scale BigID solutions for: Data Discovery
- Data Classification
- Privacy Compliance
- Data Governance
- PII Detection
BigID Platform Architecture
- Lead the architecture and deployment of BigID environments including: SaaS
- On-Premises
- Hybrid
- Containerized deployments
Enterprise Integration
- Integrate BigID with enterprise platforms including: Microsoft Azure
- Databricks
- Collibra
- Enterprise databases
- Cloud storage platforms
Data Governance & Privacy
- Design and maintain: Data Dictionaries
- Business Glossaries
- Data Catalogs
- Data Lineage Documentation
Regulatory Compliance
- Collaborate with Privacy, Legal, Compliance, and Data Governance teams to ensure compliance with regulations including: PIPEDA
- Quebec Law 25
- Ontario Bill 194
- CCPA/CPRA
- Colorado Privacy Act (CPA)
- NERC CIP
- FERC
Technical Leadership
- Lead architecture workshops and technical design sessions with business and technical stakeholders.
- Provide technical leadership, mentoring, and guidance to implementation teams.
- Review solution designs and ensure adherence to enterprise architecture standards.
- Drive best practices for privacy engineering, security, governance, and solution delivery.
Required Qualifications
- Minimum 10 years of experience in Data Architecture, Privacy Engineering, Enterprise Architecture, or Enterprise IT.
- Minimum 5 years of hands-on experience implementing and architecting BigID solutions.
- Strong expertise in BigID deployment models including: SaaS
- Hybrid
- On-Premises
- Containerized environments
- BigID connectors
- Discovery methods
- AI-powered scanning technologies
- Privacy automation capabilities
- Data Governance
- Data Lineage
- Metadata Management
- Impact Analysis
- Data Quality
Preferred Certifications
- BigID Certified Architect
- Certified Information Privacy Technologist (CIPT)
- Certified Information Systems Auditor (CISA)
Technical Skills
- BigID Architecture
- Privacy Engineering
- Enterprise Data Architecture
- Data Discovery
- Data Classification
- PII Detection
- Data Governance
- Data Lineage
- Metadata Management
- Data Catalogs
- Consent Management
- Azure
- Databricks
- Collibra
- SQL
- Scripting
- Cloud Architecture
- AI-Based Data Scanning
- Integration Architecture
- Enterprise Security
Soft Skills
- Strong leadership and mentoring capabilities.
- Excellent communication and presentation skills.
- Strong analytical and problem-solving abilities.
- Ability to lead architecture workshops and engage executive stakeholders.
- Experience working with cross-functional, onsite, and offshore teams.
- Ability to manage multiple priorities in a fast-paced consulting environment.
Ideal Candidate
The ideal candidate is a highly experienced BigID Technical Architect with deep expertise in enterprise data privacy, cloud architecture, and governance. They possess a strong background in designing scalable privacy solutions, integrating BigID with enterprise ecosystems, and leading technical teams through complex data privacy transformation initiatives while ensuring compliance with evolving regulatory requirements.
This engagement is managed end-to-end by Querentia. Our recruiters give you honest feedback at every stage, prepare you for the interview, and support a smooth onboarding once you land the offer.
