Principal Platform Architect

Job Description: Principal Platform Architect**
Company: Boston Insights Product: BI-AXIOM: A Clinical Supply Chain SaaS Platform

Location: India (Hybrid-Base Location Bangalore)
Position: Type: Full-Time

About Boston Insights

Boston Insights is revolutionizing the clinical supply chain with BI-AXIOM—an AI-powered, real-time command center that unifies data, decisions, and risk management across the clinical supply lifecycle. As we scale our SaaS based modular platform, we seek a strategic Principal Platform Architect to build our next-generation foundation.

The Role
The Principal Platform Architect is the strategic technical lead responsible for Architecture Governance, Compliance Implementation, and Security Strategy for the AXIOM platform. You will establish and enforce enterprise architectural standards and engineering directives.
This senior hybrid role requires toggling between hands-on engineering (building PoCs, reviewing Infrastructure as Code) and strategic leadership (representing security posture to enterprise clients, translating technical decisions to leadership). You will own engineering management, technical reviews for product and Infrastructure and collaborate with business stakeholders to build enterprise-grade platform

Key Responsibilities

1. Multi-Tenant Platform Design & Data Engineering
• Design and govern robust multi-tenant architecture with strict data isolation, security, and

governance across tenants.
• Establish a scalable tenant onboarding/offboarding of tenants, and data sources.
• Define strategies for shared vs dedicated infrastructure
• Define, document, and enforce overarching architecture, engineering standards, and
deployment directives
• Architect future-proof foundation supporting AI-powered modules and advanced AI data
pipelines across frontend and backend

2. Metadata-Driven Framework Design
Architect metadata-driven ingestion and transformation frameworks
• Enable configuration-based pipeline orchestration over code-heavy solutions
• Design metadata tables for ingestion rules, transformation logic, data quality rules, and pipeline orchestration
• Enable future tenant support with minimal engineering effort

3. Enterprise Data Architecture & Governance
• Design scalable, secure, high-performance enterprise data engineering frameworks with
reusable components for ingestion, transformation, quality, and lineage
• Establish data architecture standards, governance models, and best practices aligned with the
product roadmap
• Architect solutions using Data Lakehouse patterns, streaming/batch processing, and
distributed processing frameworks
• Define data governance strategy encompassing metadata-driven quality frameworks, data
lineage, cataloging, validation, monitoring & alerting
• Typical stack: cloud platforms, data lakes, distributed processing engines, data warehouses,
metadata catalog systems

4. Hands-On Engineering & Deep-Dive Execution
• Build PoCs for complex features, establish baseline IaC modules, resolve tier-3 architectural
escalations
• Architect and validate automated deployment pipelines for App/Backend code, Power BI
(PBIP), and Azure Data Factory
• Act as final technical authority on tool selection, CI/CD pipeline structures (Azure DevOps), and infrastructure design (Terraform/Bicep)
• Design synthetic data seeders and automated health-check APIs for platform integrity
validation

5. AI Strategy & Predictive/Prescriptive Analytics
Define and drive the AI strategy and roadmap for BI-AXIOM, aligning predictive and

prescriptive analytics capabilities with product vision and customer needs
• Evaluate and architect data platform components leveraging Azure Databricks, Snowflake, and similar advanced analytics platforms to enable ML-driven demand forecasting, risk prediction, and supply chain optimization
• Design prescriptive analytics workflows that translate model outputs into actionable
recommendations for clinical supply chain decision-makers (e.g., proactive rebalancing,
expiry mitigation, scenario planning)
• Establish feature engineering, model training, and inference pipelines integrated with the
AXIOM data platform, ensuring scalability, reproducibility, and governance of ML artifacts

6. Security, Compliance, and Business Continuity
• Implement platform security posture and compliance frameworks (SOC 2, ISO standards)
ensuring strict adherence
• Architect for disaster recovery, business continuity, and audit readiness with autonomous
cloud environment rebuild capability from source code
• Design and enforce enterprise-grade security patterns: Managed Identities, Key Vault secret
management, zero-trust networking, dynamic endpoint configuration
• Ensure database schema migrations and data pipelines maintain Zero Data Loss guarantee

7. Executive and Customer Representation
• Serve as technical face of AXIOM in enterprise pharma client discussions, explaining security posture, data isolation, and disaster recovery strategies
• Translate architectural trade-offs, technical debt, and cloud costs (FinOps) into business-focused insights for CEO and executive leadership

Required Qualifications & Skills
Experience
• 10+ years progressive experience in software engineering, cloud infrastructure, and data
platform architecture, including full platform lifecycle (infrastructure, CI/CD, data platforms,
application deployment, production observability)
• 5+ years in a Lead Architect role designing multi-tenant SaaS or Enterprise Data/BI platforms
with ownership of production architecture for external enterprise customers (uptime, security,
operational scalability)
• Hands-on experience designing multi-tenant data and application architectures including
tenant isolation, provisioning automation, and lifecycle management
• Designed and tested disaster recovery and business continuity architectures with defined
RTO/RPO targets

Technical Expertise
• Cloud Platforms: Deep, authoritative knowledge of Microsoft Azure ecosystem (App Services,
Managed Identities, Key Vault, Azure Storage, Networking)
• Infrastructure as Code: Expert-level proficiency in Terraform or Azure Bicep with focus on
modularity, remote state management, and idempotency
• Data & BI Architecture: Strong understanding of Azure Data Factory, modern data
warehousing, and Power BI deployment lifecycles
• AI/ML Infrastructure: Experience designing platforms supporting AI-driven data pipelines, ML model integration (MLOps), and deploying AI services to frontend/backend environments.

Familiarity with Azure Databricks, Snowflake paltforms for building predictive and prescriptive
analytics capabilities
• DevOps & CI/CD: Advanced experience with Azure DevOps (Pipelines, YAML, Repos), defining
release flows, gating, and automated quality checks
• FinOps: Experience designing cloud cost-tracking structures (tagging strategies, resource
optimization)

Leadership & Soft Skills
• Executive Presence: Proven ability presenting complex technical architectures to non-
technical C-suite executives and external enterprise clients
• Compliance Execution: Strong background practically implementing systems for strict
compliance audits (SOC 2, ISO, HIPAA, or GDPR)
• Remote Leadership: Highly self-directed, driving alignment, velocity, and accountability across
distributed, remote engineering teams in India

Preferred Qualifications:
Master’s in computer science/engineering
Certifications (Preferred): Microsoft Certified: Azure Solutions Architect Expert (AZ-305) or Azure DevOps Engineer Expert (AZ-400). Certifications in Azure Security (AZ-500), Microsoft Fabric Data Engineer (DP-700), Databricks Data Engineer, or Terraform are a strong plus.

What We Offer
• Critical, high-impact leadership role with ownership of technical execution for core product
• Hybrid work environment in India
• Competitive compensation package for senior executive-level engineering talent
• Opportunity to build and shape enterprise-grade platform from foundational level