Data Architect / Cloud Engineer

Company Description:

BrandDelta empowers companies around the world to transform the way their Brands can learn and win. Our Brand Intelligence platform is built to enable our clients to understand how consumers perceive their brands faster, deeper and in a more actionable manner with measurable links.

We also help organisations transform how marketing decisions are made. Our platform brings together marketing effectiveness measurement, optimisation, and brand intelligence to support faster, more confident planning across markets, channels and time horizons.

We work closely with global marketing, activation and commercial teams to embed advanced analytics and decisioning tools into everyday workflows - moving beyond static reporting toward continuous planning and scenario-based decision-making.

Role Description:

We are seeking a Data Architect / Cloud Engineer to lead the technical delivery of a flagship enterprise deployment and to strengthen the cloud engineering backbone behind Brand Delta's platforms.

The centrepiece of the role is the internalisation of our marketing-effectiveness and optimisation platforms into a global client's Azure environment: re-platforming applications, data pipelines and stores inside the client's boundary, to enterprise architecture and InfoSec standards, and through the client's formal technology assurance process. You will work directly with the client's enterprise architects, data & analytics and security teams — and with our modelling, engineering and product teams — to design, build and evidence that deployment.

Beyond the project, you will own cloud infrastructure, environments and delivery pipelines across Brand Delta's platforms, and implement the IT and security policies that govern them under our ISO 27001 certification.

The ideal candidate combines hands-on Azure engineering with data-architecture judgement, is comfortable presenting designs to enterprise architects, and treats security and compliance as part of engineering rather than an afterthought.

Key Responsibilities:

1.Client Platform Internalisation

• Design and build the client-side Azure environment: networking and private connectivity, virtual machines, Databricks workspace, storage, Entra ID integration, and dev/test/prod environments via infrastructure-as-code and deployment templates.
• Migrate and re-point data pipelines and application services into the client boundary; rebuild data-delivery interfaces in-environment with validation tooling so no data needs to leave.
• Support secure packaging and release of versioned engine components: signing, version-controlled delivery, rollback and release procedures.
• Produce architecture documentation, data-flow maps and assurance evidence for the client's architecture review and InfoSec processes; support security reviews and penetration testing.

2. Data Architecture

• Own the data architecture across our lakehouse estate (medallion Bronze/Silver/Gold on Fabric / Synapse), orchestration (Data Factory), storage design and lineage.
• Design and document the data contracts between modelling outputs and decisioning applications: schemas, versioning, data dictionaries and validation gates.
• Set standards for data quality, retention and classification across multi-market deployments and large analytical datasets.

3.Cloud Engineering & DevOps

• Operate and evolve the Azure estate behind our platforms: App Services, storage, networking, Key Vault, monitoring (Azure Monitor / Application Insights) and cost governance.
• Own CI/CD in Azure DevOps: pipelines, code scanning, automated testing gates and staged promotion across physically separated environments.
• Champion zero-secret patterns: Managed Identities, RBAC and encrypted-by-default storage and transit.

4. IT Policy, Security & Compliance

• Implement and maintain IT and security policies aligned to ISO 27001: access management, change management, vulnerability management and vendor management.

Requirements

Essential Experience

• 5–10+ years across data engineering / architecture, cloud engineering or platform engineering.
• Deep, hands-on Azure experience: App Services, Databricks and/or Synapse / Fabric, Data Factory, storage, networking and Entra ID.
• Infrastructure-as-code (Terraform, Bicep or ARM) and CI/CD with Azure DevOps.
• Strong Python and SQL; Spark for large-scale data processing.
• Data-architecture fundamentals: lakehouse / medallion patterns, schema and contract design, lineage and data quality.
• Experience deploying into — or operating within — large enterprise environments: security reviews, InfoSec alignment, architecture assurance processes.
• Credible in front of enterprise architects and security teams: clear documentation, clear diagrams, clear answers.

Nice to Have

• ISO 27001 implementation or audit experience; familiarity with DPIAs and vendor security questionnaires.
• MLOps exposure (e.g. MLflow) or experience supporting analytics, optimisation or machine-learning platforms.
• Familiarity with the application stack we deploy: C# / .NET services and React / Next.js front-ends.
• Experience with virtual desktop environments and private-network delivery patterns.
• Vendor-side delivery experience with global FMCG or similarly regulated enterprise clients.

What we offer:

• Career Acceleration - Fast growth with many opportunities both in the AI-led software and business domains, with board-level clients.
• Benefits Policy
• Flexible Work Hours - Adjust your schedule to your needs

Benefits:

• We will pay you competitive salary commensurate with what you're worth, as a high performer. We are fully committed to closing the gender pay gap, promoting diversity and inclusivity, and paying people what they deserve to be paid.
• Enjoy the benefits of a flexible work schedule as part of a global team.
• Experience ongoing training and growth opportunities. We will support you with your career endeavours. We are committed to internal progression and offering our team members the best opportunities for growth. We want to invest in you the same way you are going to invest in us!