Solution Architect Data & AI

At Altron Digital Business, we provide the enterprise-grade solutions that organisations need to operate, optimise, and transform into a resilient digital business. Our purpose is to use technology to transform today into a simpler, safer and smarter tomorrow. We are committed to providing the best solutions to save money and help our clients’ business grow with a robust IT ecosystem that supports digital transformation. The Data & AI Solution Architect is a trusted technical advisor and design authority within the Microsoft Data & AI practice. Working directly with clients, this role leads discovery, assessment, and architecture engagements across the full spectrum of modern data and AI solution delivery — from greenfield platform builds to legacy modernisation programmes. The architect translates business strategy and technical requirements into clear, well-reasoned architectural designs across conceptual, logical, and detailed levels, grounded in the Microsoft Azure ecosystem. Key Responsibilities:

Advisory & Assessment:

Lead or contribute to data and AI advisory engagements, including current-state assessments, maturity evaluations, and technology gap analysis

Facilitate structured discovery workshops with client stakeholders across business, data, and technology functions

Produce findings and recommendations in the form of assessment reports, roadmaps, and business cases

Advise clients on platform strategy decisions including build vs. buy, cloud-native vs. hybrid, and migration sequencing

Architecture Design

Develop conceptual architectures that communicate the vision and key design decisions to executive and business audiences

Produce logical architectures that define components, data flows, integration patterns, and system interactions

Create detailed technical architectures with sufficient specification to guide implementation teams, including infrastructure, security, networking, and data design considerations

Ensure architectures align with enterprise standards, governance frameworks, and non-functional requirements such as scalability, resilience, and cost optimisation

Solution Domains

Design modern data analytics platforms including data lakehouse, medallion architecture, and real-time streaming solutions

Architect data modernisation pathways from legacy on-premises platforms (e.g. SQL Server, Teradata, on-prem Hadoop) to Azure-native equivalents

Design AI and ML solutions including predictive analytics, generative AI integrations, and MLOps platforms

Advise on data governance, data mesh, and data product operating models

Client Engagement

Build and maintain trusted relationships with client architects, technology leads, and senior stakeholders

Present architectural proposals and recommendations clearly to both technical and non-technical audiences

Support pre-sales activities including solution scoping, estimation, and proposal development

Contribute to practice development through reusable assets, reference architectures, and thought leadership Required Skills & Experience:

Technical

Strong hands-on and design experience across the core Microsoft Azure Data & AI stack including Azure Synapse Analytics, Microsoft Fabric, Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure OpenAI Service, Azure Machine Learning, and Purview

Proficiency in architectural patterns such as Lambda, Kappa, medallion/lakehouse, and event-driven architectures

Understanding data modelling approaches including dimensional modelling, data vault, and semantic layer design

Familiarity with DevOps and DataOps practices including CI/CD pipelines, infrastructure-as-code (Bicep/Terraform), and version control

Working knowledge of data security, identity, and governance patterns in Azure

Architecture & Consulting:

Demonstrated experience producing architecture artefacts at conceptual, logical, and detailed levels

Ability to run structured workshops and facilitate stakeholder alignment across complex organisations

Experience conducting technology assessments and producing actionable roadmap recommendations

Strong documentation skills — able to produce clear, professional deliverables for client consumption

Interpersonal

Comfortable presenting and defending architectural decisions to senior client audiences

Collaborative and able to work across multidisciplinary teams including project managers, developers, and business analysts

Able to manage ambiguity and bring structure to complex, evolving client situations

Desirable Experience

Exposure to non-Microsoft data platforms (Snowflake, AWS, GCP, Databricks on non-Azure) to support migration and interoperability conversations

Experience with Agile delivery frameworks