Role Overview
We have an exciting opportunity for a Data Architect to join our growing Data & AI team. The successful applicant will work alongside our architects and consultants to deliver high-quality data solutions to help our customers become more successful in becoming a data-guided organisation.
The Data Architect is responsible for planning, designing and delivering elegant solutions using Microsoft Azure data services. The Data Architect engages in the full project lifecycle from presales through to operational handover and is accountable for the technical delivery of projects.
Responsibilities- Designing cloud-based data platforms and data solutions using a wide range of Azure Services including Azure Databricks, Azure SQL Database, Azure Data Lake/Blob Storage, Microsoft Fabric, Azure Synapse Analytics, Azure Cosmos DB, Azure Data Factory, Power BI and cloud-native integration technologies
- Building conceptual, logical and physical data models optimised for analytical use cases
- Contribute to definition of data architecture framework, standards and principles
- Mapping data from source to target and establishing current & future state based on business requirements
- Provide technical leadership and mentoring to team members
- Responsible for the technical readiness, scalability, & quality assurance of final deliverables
- Effectively translate and accurately communicate across technical and non-technical stakeholders as well as facilitate discussions within a multidisciplinary team
- Prepare technical documentation to a high standard
- Extensive modern data platform expertise , including Data Warehouses, Data Lakes, Dimensional Modelling, and both streaming and batch processing approaches.
- Strong grounding in data strategy and management, covering people/process/technology pillars, Data Governance, Data Quality, Master & Reference Data Management, Metadata Management, and Security & Compliance.
- Deep experience with Data Warehouse methodologies and strong SQL capability, complemented by solid experience in Python/ PySpark .
- Broad hands-on experience across Azure Data Services, including Azure Databricks, Azure SQL Database, Data Lake/Blob Storage, Microsoft Fabric, Synapse Analytics, Cosmos DB, Azure Data Factory, and Power BI.
- Strong understanding of supporting technologies, including Azure infrastructure (Subscriptions, Resource Groups, VNets , Kubernetes, IAM), modern reporting platforms (dashboarding, advanced analytics, ML/AI), and Infrastructure-as-Code tools such as Terraform or Bicep, plus good knowledge of Azure Dev Ops Pipelines.
- Excellent communication and stakeholder engagement, with the ability to simplify complex concepts and manage peer/senior stakeholders, including executive sponsors.
- Architecture:
Agentic AI, enterprise architecture frameworks, and Apache Spark. - Data & Platforms:
Enterprise data integration, Microsoft BI stack, and AI/ML platforms on Azure/Databricks/Fabric. - Cloud & Dev Ops: AWS/GCP and CI/CD tools ( Bit Bucket , Jenkins).
- Certifications:
Azure Architect Expert and/or TOGAF.
- Strong alignment with FSP values and ethos
- Commitment to teamwork, quality and mutual success
- Proactivity with an ability to operate with pace and energy
- Strong communication and interpersonal skills
- Dedication to excellence and quality
FSP is a leading consultancy specialising in Digital, Security and AI solutions. Our success is enabled by our unwavering commitment to excellence, our people centric culture alongside best-in-class operations, ensuring impactful and sustainable outcomes for our clients.
As a long standing and highly accredited Microsoft Partner, with extensive solution designations, we partner with clients across a range of commercial sectors, enabling digital transformation, innovation and robust cyber security.
We navigate the complexities of data sensitivity, confidentiality, governance and compliance. We blend strategic insight, depth of technical expertise , delivery and operational excellence to meet the specific requirements outlined.
We take a collaborative, one team approach with…
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