Data Security Domain Architect | POC & Governance Leader

HCL Technologies Limited; United States; In loco; USD 140.000 - 170.000; Tempo pieno

Descrizione del lavoro

Sapsf is seeking a Domain Architect focused on data security and compliance for a Presales engagement. The role centers on executing a 12-week POC evaluating Microsoft Purview, Varonis, and BigID to drive governance decisions.

Responsibilities include leading requirements validation across data classification, access governance, policy remediation, and AI data risk governance, with an emphasis on deliverables, scoring, and architecture guidance for procurement.

Competenze

• Experience designing and delivering data security programs.
• Strong knowledge of governance frameworks and compliance requirements.
• Excellent communication with technical and non-technical stakeholders.

Mansioni

• Lead a 12-week POC evaluating Purview, Varonis and BigID across five governance pillars.
• Validate data discovery, classification, labeling across Microsoft 365, on-prem, Azure, and SaaS.
• Produce scoring, recommendations, and architecture guidance for platform selection.
• Coordinate decommissioning of the POC environment after completion.

Conoscenze

Data governance

Data security architecture

Stakeholder engagement

Strumenti

MS Purview

Varonis

BigID

Descrizione del lavoro

Career Opportunities: Domain Architect - Data security and compliance,Presales (127030)

Requisition ID127030-Posted10/06/2026

Proof of Concept (POC) engagement to evaluate three leading data security and governance platforms — Microsoft Purview, Varonis, and BigID — across five core governance pillars: 1. Data Classification & Labeling – Discover, classify, and label sensitive data across the enterprise. 2. Access Transparency & Governance – Understand who has access to what data, identify excessive permissions, and establish data ownership. 3. Policy-Driven Remediation – Automate enforcement, remediation workflows, and DLP controls. 4. AI Data Risk Governance – Govern data exposure through AI tools including Copilot, ChatGPT, and enterprise AI apps. 5. Continuous Governance & Reporting – Dashboards, compliance reporting, audit trails, and ongoing posture management. The POC will be executed over a 12-week period and will produce a report on recommendations with comparative scoring and architecture guidance to support an informed platform selection decision along with additional 2 weeks for decommissioning of POC environment. 2. POC Objectives 1. Validate each platform\'s ability to discover, classify, and label sensitive data across Microsoft 365, on-premises file shares, Azure cloud, and SaaS applications. 2. Assess access governance capabilities including permission analytics, data ownership identification, excessive access detection, and entitlement visibility. 3. Evaluate policy-driven remediation workflows including automated enforcement, DLP integration, quarantining, and permission cleanup. 4. Test AI data risk governance features include DSPM for AI, Copilot data governance, AI policy enforcement, and AI interaction monitoring. 5. Measure reporting, dashboarding, and continuous governance capabilities including compliance posture, audit trails, and executive-level visibility. 6. Produce a comprehensive report on recommendations including a scoring matrix, and architecture recommendation (single-vendor, best-of-breed, or phased hybrid approach).

Key Responsibilities

Proof of Concept (POC) engagement to evaluate three leading data security and governance platforms — Microsoft Purview, Varonis, and BigID — across five core governance pillars: 1. Data Classification & Labeling – Discover, classify, and label sensitive data across the enterprise. 2. Access Transparency & Governance – Understand who has access to what data, identify excessive permissions, and establish data ownership. 3. Policy-Driven Remediation – Automate enforcement, remediation workflows, and DLP controls. 4. AI Data Risk Governance – Govern data exposure through AI tools including Copilot, ChatGPT, and enterprise AI apps. 5. Continuous Governance & Reporting – Dashboards, compliance reporting, audit trails, and ongoing posture management. The POC will be executed over a 12-week period and will produce a report on recommendations with comparative scoring and architecture guidance to support an informed platform selection decision along with additional 2 weeks for decommissioning of POC environment. 2. POC Objectives 1. Validate each platform\'s ability to discover, classify, and label sensitive data across Microsoft 365, on-premises file shares, Azure cloud, and SaaS applications. 2. Assess access governance capabilities including permission analytics, data ownership identification, excessive access detection, and entitlement visibility. 3. Evaluate policy-driven remediation workflows including automated enforcement, DLP integration, quarantining, and permission cleanup. 4. Test AI data risk governance features include DSPM for AI, Copilot data governance, AI policy enforcement, and AI interaction monitoring. 5. Measure reporting, dashboarding, and continuous governance capabilities including compliance posture, audit trails, and executive-level visibility. 6. Produce a comprehensive report on recommendations including a scoring matrix, and architecture recommendation (single-vendor, best-of-breed, or phased hybrid approach).

Skill Requirements

Extensive implementation / consultation skills on Data Security Products like MS Purview, Varonis and BigId