JOB DESCRIPTION
BigID, IT security, Data Analysis, Data Intelligence, Data Management, Data Mining, Data Privacy, Data Processing, Data Security, Information Security, Information System, Information Systems Architecture, Information Technology, Solution Architecture, Technology
Demand raised for BIGID Functional Lead againsty RFP for Enbridge Data Privacy Phase 4 (RFP result awaited)
*TECHNICAL SKILLS: *
- Proficiency in configuring and deploying the BigID platform across enterprise environments.
- Strong understanding of data discovery, classification, and privacy regulations (GDPR, CCPA).
- Experience integrating BigID with cloud platforms, databases, and identity systems.
- Familiarity with REST APIs and scripting (Python, SQL) for automation and customization.
- Knowledge in networking protocols and technologies: HTTP, SSL, TCP/IP, DNS, network components.
- Experience with structured data RDBMS, such as Microsoft SQL Server, Oracle Database, PostgreSQL, MySQL/MariaDB, IBM DB2, etc.
- Solid experience with NoSQL databases (such as MongoDB and Elasticsearch), message queues, and microservices, preferably in Kubernetes environments.
- Demonstrated knowledge in working with Linux environments – installing, configuring networking, writing bash scripts, and more.
- Strong understanding of resilience patterns, multi-tenancy, scalability, and performance tuning.
- Experience with Kubernetes and other container orchestration technologies – an advantage
- Proficiency in Java programming and experience with related frameworks.
- Familiarity with SDK design and shared client libraries
- Experience assessing vendor data processing activities and managing third-party risk using BigID
- Strong troubleshooting skills for resolving ingestion, performance, and configuration issues.
*SOFT SKILLS: *
- Strong communication and interpersonal skills are essential, with the ability to effectively communicate technical concepts to non-technical stakeholders.
- Excellent presentation skills are needed
- Ability to work with onsite and offshore teams across different timezones
- Useful for managing timelines and deliverables during tool migrations and privacy initiatives.