Data Architect
3 hours ago
This is a senior, cross-functional architecture role responsible for Regal's end-to-end data integrity, auditability, and scalability. You'll design, govern, and optimize how data moves between Zoho One, QuickBooks, AWS, HubSpot, Drata, and our agentic AI infrastructure — ensuring every dataset is structured, traceable, and compliant. You will also establish the systems that feed executive reporting, AI performance dashboards, and compliance audits — serving as Regal's central "data truth" steward.
Core Responsibilities:
Data Architecture & Governance
- Design and maintain Regal's hybrid data lake (AWS S3 + Zoho WorkDrive + SharePoint) as the central intelligence layer for analytics, compliance, and agentic AI.
- Define and enforce naming conventions, field hierarchies, and access-control logic across Zoho One, AWS, and HubSpot.
- Model entity relationships linking CRM (HubSpot), Zoho modules (Books, People, Analytics), QuickBooks, and Drata.
- Establish metadata tagging and lineage documentation for GPT logs, compliance data, and audit evidence.
- Conduct monthly data-quality and reconciliation audits across all connected systems.
Financial & Operational Integrations
- Architect and govern QuickBooks → Zoho Analytics data pipelines (or future Zoho Books migration).
- Map chart-of-accounts, expense categories, and client revenue fields for unified P&L and cost-per-unit dashboards.
- Ensure data integrity across finance, operations, and AI-generated reporting.
- Archive and version financial data in AWS for audit traceability.
- Collaborate with Evan and Christina to align financial, AI, and compliance metrics.
Zoho One System Integration
- Lead the Zoho One ecosystem (CRM, Books, People, Analytics, WorkDrive) as Regal's core operational platform.
- Integrate Zoho with QuickBooks, AWS, Drata, HubSpot, ClickUp, and HR systems via APIs or n8n/Zoho Flow automations.
- Standardize KPI logic and data models across business units.
- Implement data retention and deletion policies compliant with SOC 2 and GDPR.
- Govern permissioning and ownership policies across all Zoho modules.
HubSpot & Sales Data Standardization
- Own integration and data consistency between HubSpot CRM, Zoho Analytics, and QuickBooks.
- Define data models for lead → deal → revenue attribution, ensuring sales KPIs and compensation dashboards remain accurate.
- Collaborate with sales leadership to build unified, auditable reporting across all deal sources.
- Manage migration and data mapping as Regal phases out Array and transitions to direct credit bureau integrations for monitoring services.
Agentic AI & Data-Lake Enablement
- Architect datasets supporting agentic GPT workflows, including retrieval-augmented data and decision logs.
- Build and maintain vectorized embeddings and indexes (e.g., Pinecone, FAISS, Kendra) for AI contextual grounding.
- Define "agent-ready" data tagging (freshness, provenance, permissions).
- Ensure every AI decision and prompt-output is logged, auditable, and reversible under SOC 2 standards.
- Collaborate with AI Architect and Christina to embed audit rules into GPT pipelines.
Compliance, Security & Identity
- Work with (Compliance Lead) and CyberSweep to align SOC 2/GDPR documentation across all platforms.
- Integrate Drata compliance metadata into Zoho Analytics dashboards for real-time status visibility.
- Classify and tag data assets for confidentiality, sensitivity, and retention categories.
- Support CyberSweep's security data integration into Regal's data lake.
- Ensure compliance-triggered audit logs and deletion workflows are automated across systems.
Reporting & Data Enablement
- Own Regal's master data dictionary and unified metric definitions.
- CCreate executive dashboards for AI performance, compliance posture, and financial metrics.
- Maintain consistent KPI logic across Zoho Analytics, HubSpot, QuickBooks, and Drata.
- Deliver monthly data quality scorecards and investor-ready reporting packs.
- Build SOPs for self-serve analytics and structured documentation for all reports.
Automation Governance
- Govern all data-related automation within n8n, Zoho Flow, and ClickUp.
- Document workflow dependencies and maintain change logs for each integration.
- Prevent duplication and ensure versioned, traceable syncs between tools.
- Coordinate API credentials, access permissions, and webhook policies
HR, People, and Test Data Analytics
- Integrate Zoho People, TestGorilla, and payroll data into Zoho Analytics for performance and salary dashboards.
- Maintain HR data compliance and retention schedules.
- Support the PeopleOps team with analytics for training, promotion readiness, and performance audits.
Investor & Data Room Reporting
- Prepare investor-ready data extracts and dashboards aligned with Regal's valuation and KPI model.
- Maintain dataset versioning for historical and audited reporting cycles.
- Ensure alignment between investor reporting, Zoho Analytics, and the official Data Room metrics.
Minimum Qualifications
- 6+ years in data architecture, governance, or enterprise data systems
- Advanced experience with Zoho One (CRM, Books, People, Analytics, WorkDrive)
- Hands-on experience building and governing AWS data lakes
- Familiarity with HubSpot CRM integrations and sales data pipelines
- Strong working knowledge of QuickBooks or other accounting integrations
- Proven experience with SOC 2 / GDPR data traceability and deletion compliance
- Proficiency in SQL, REST APIs, and automation platforms (n8n, Zoho Flow)
- Exceptional written and async communication skills
Bonus Skills
- Experience with metadata cataloging (Atlan, Collibra, Saketree)
- Familiarity with Drata, Torii, or CyberSweep integration
- Knowledge of GA4, Stripe, or bureau API data flows
- Experience developing AI governance dashboards or audit-ready data systems
- History of mentoring analysts or managing cross-functional data teams
Job Type: Full-time
Pay: Php150, Php300,000.00 per month
Benefits:
- Additional leave
- Company events
- Opportunities for promotion
- Pay raise
- Work from home
Education:
- Bachelor's (Required)
Experience:
- data architecture, governance, or enterprise data systems: 6 years (Required)
Work Location: Remote
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