Databricks Data Platform Architect

Overview

About InspireXT

We are on a mission to become the world's most trusted supply chain consulting partner, and to create a company where our clients, our people and our partners flourish. We have lofty ambitions in an exciting market, where sustainability, efficiency, AI & technology enablement are driving bold collaborations in pursuit of customer excellence and profitable growth.

The foundation is laid, momentum is building, and we now are looking for talented team players who share our values and want to make a meaningful difference and be part of shaping the next chapter. We were born in the UK 6 years ago, and we now have colleagues in 4 markets who are delivering Customer Centric Supply Chain solutions to our clients, bringing together the latest offerings from Oracle & Salesforce, as well as innovative AI & technology solutions that deliver rapid time to value.

We are investing significantly in our Databricks alliance and building a certified practice from Pune to support global clients across UK, Europe, US and Asia.

Note - We are an equal opportunities employer, committed to fostering diversity & growth for all. We welcome applications from traditional and unusual backgrounds, and also are happy to discuss any specific accommodations required in the recruitment process to help you shine.

Are you ready to inspire? #MakingWinners #InspireXT #SupplyChainExperts

As a Databricks Data Platform Architect at InspireXT, you will be a senior member of the delivery team, responsible for architecting, building and evolving enterprise-grade Lakehouse platforms that underpin analytics, AI and regulated supply chain use cases.

You will own the foundational Lakehouse architecture on Databricks across Azure, AWS and GCP, with a strong focus on data modelling, platform structure, governance, security, scalability and long-term operability. This role is centred on establishing robust, repeatable platform foundations that enable InspireXT delivery teams to build trusted, compliant data products at scale.

You will work hands-on within delivery engagements to define platform standards, implement core architectural components, and ensure Databricks is delivered as a strategic enterprise data platform aligned to InspireXT’s Connected Intelligence vision.

Key Responsibilities

1. Lakehouse Platform Architecture

• Design and implement enterprise Databricks Lakehouse architectures across Azure, AWS and GCP
  
• Define platform standards for workspace topology, environment separation (dev/test/prod), networking, identity and access management
  
• Architect governed Lakehouse designs using Unity Catalog, Delta Lake and Medallion-based architecture patterns
  
• Define canonical, conformed and domain-oriented data models that support analytics, reporting and AI use cases
  
• Ensure architectures support regulatory, audit and compliance requirements common to supply chain environments
  

2. Governance, Security & Data Modeling

• Implement Unity Catalog for centralized governance, fine-grained access control, lineage and metadata management
  
• Define enterprise data modelling standards, naming conventions, ownership models and schema management practices
  
• Architect secure data sharing and cross-domain access patterns while maintaining strong governance boundaries
  
• Embed compliance-by-design principles into platform and Lakehouse architecture
  
  

3. Platform Delivery & Enablement

• Design and implement Lakehouse zones and layers aligned to Medallion architecture principles
  
• Define architectural patterns for data ingestion, refinement, consumption and sharing within the Lakehouse
  
• Establish standards for catalog, schema and table organisation, lifecycle management and data product ownership
  
• Implement and govern Lakeflow-based orchestration to manage movement and transformation of data across Lakehouse zones
  
• Architect consumption patterns for BI, analytics, operational reporting and AI, ensuring data products are performant, trusted and secure
  
• Embed platform guardrails covering governance, access control, data quality and lifecycle management across all Lakehouse layers
  

4. Multi-Cloud Architecture & Operations

• Architect cloud-native Databricks platforms on Azure, AWS and GCP, including storage, networking and IAM integration
  
• Design for performance, scalability, workload isolation and cost optimisation
  
• Define monitoring, observability and operational support patterns for production platforms
  

5. Standards, Acceleration & Mentorship

• Define reference architectures, reusable patterns and delivery standards for InspireXT’s Databricks practice
  
• Build accelerators and templates aligned to InspireXT’s Connected Intelligence strategy.
  
• Mentor engineers and architects on Lakehouse architecture, governance and modelling best practices
  
• Contribute to internal enablement, architecture reviews and Databricks-aligned thought leadership
  
  
  
  

Requirements

Requirements

• 5+ years of experience in data platform architecture, data architecture or cloud architecture, with 10+ years overall experience in data and analytics
  
• Proven experience architecting and delivering enterprise-scale Lakehouse platforms, ideally using Databricks
  
• Strong expertise in Lakehouse architecture patterns, including Medallion architectures and domain-oriented data design
  
• Deep knowledge of Unity Catalog, data governance, metadata management, lineage and access control
  
• Strong experience designing logical, physical and semantic data models for analytics and AI use cases.
  
• Proven experience delivering data platforms on Azure, with solid working knowledge of AWS and/or GCP
  
• Strong understanding of cloud-native architecture concepts: IAM, networking, encryption, data security and compliance
  
• Experience designing platforms for high availability, scalability and operational resilience
  
• Working knowledge of SQL and Spark-based analytics, sufficient to guide architectural and modelling decisions
  
• Strong communication skills and experience working directly with client technical stakeholders as part of delivery teams
  

Good to Have

• Industry experience in Pharma, Manufacturing, or Retail supply chains, particularly in regulated environments
  
• Experience modernising or migrating from traditional EDWs/CDWs to a Lakehouse architecture
  
• Familiarity with AI/BI and Genie Workspaces
  
• Familiarity with Mosaic AI, AI-ready data platform design, or governed AI patterns
  

• Databricks Certified Data Engineer
  
• Microsoft Certified: Azure Solutions Architect Expert
  
• AWS Certified Solutions Architect
  
• Google Professional Cloud Architect
  
  
  
  

Benefits

• As part of a growing, ambitious, and progressive organization you will receive a competitive compensation package including retirement benefits, health and life insurance.
  
• In addition to your fixed salary, you will also receive variable compensation linked to the achievement of your goals.
  
• A chance to become a recognized Databricks thought leader in a high-growth practice.
  
• Ownership and visibility – you will shape InspireXT’s Databricks solutions globally
  
• A collaborative, values-driven environment, anchored in our AMPlify philosophy (Autonomy, Mastery, Purpose)
  
• Opportunities to publish, speak, and build accelerators alongside Databricks