Remote BigID SME Consultant - Data Privacy & Governance

WaveStrong

Los Angeles (CA)

Remote

USD 120,000 - 180,000

Part time

14 days+
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Job summary

WaveStrong is seeking a BigID SME Consultant to lead end-to-end deployments, upgrades, and integrations of the BigID platform for enterprise clients. This remote contract role requires hands-on BigID expertise and the ability to work directly with customers to ensure successful implementations.

You will own deployments across on-prem and cloud, configure data discovery, classification, and cataloging, integrate with databases, data lakes, and cloud providers (AWS, Azure, GCP), and tailor privacy

Qualifications

  • Bachelor’s degree or equivalent experience.
  • Hands-on BigID and data governance experience.
  • Strong API, Linux, scripting, and cloud platform knowledge.

Responsibilities

  • Lead BigID deployments and upgrades across on-prem and cloud environments.
  • Implement and configure BigID for data discovery, classification, and cataloging across structured and unstructured data sources.
  • Integrate BigID with databases, data lakes, cloud platforms (AWS, Azure, GCP), and SaaS applications.
  • Configure PII, PHI, PCI, GDPR, CCPA policies and data classification rules.
  • Support data privacy workflows such as DSAR, consent management, and data retention.
  • Develop and customize BigID scans, connectors, and metadata ingestion.
  • Troubleshoot issues and optimize performance.

Skills

APIs
Linux
Python
Shell scripting
Cloud platforms
Client-facing skills
Project leadership

Education

Bachelor’s degree in Computer Science or related field

Tools

BigID
Data governance tools

Job description

WaveStrong is seeking a BigID SME Consultant to lead end-to-end deployments, upgrades, and integrations of the BigID platform for enterprise clients. This remote contract role requires hands-on BigID expertise and the ability to work directly with customers to ensure successful implementations.

You will own deployments across on-prem and cloud, configure data discovery, classification, and cataloging, integrate with databases, data lakes, and cloud providers (AWS, Azure, GCP), and tailor privacy

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