Data Engineer at Equinix implementing data architecture solutions for scalability and analytics. Collaborating with teams to design data pipelines and maintain data models for business objectives.
About the role
- Data Architect responsible for planning and delivering data solutions using Azure services in a consultancy environment. Collaborating with architects and consultants to enable customers' success in data-driven operations.
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
Requirements
- 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 DevOps Pipelines
- Knowledge and experience of the following would be advantageous: 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 & DevOps: AWS/GCP and CI/CD tools ( BitBucket , Jenkins); Certifications: Azure Architect Expert and/or TOGAF
Benefits
- A collaborative and supportive environment in which you can grow and develop your career
- The tools and opportunity to do work you can be proud of
- A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience
- Hybrid working – we empower you to make smart choices about when and where to work to achieve great results
- Industry leading coaching and mentoring
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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