about the role**Title**: Data Architect**Industry**: Consultancy**Location**: London**Salary**: Up to £65,000- As a Data Architect, you will play a pivotal role in designing and implementing robust data architectures for our clients. You will collaborate closely with cross-functional teams to understand business requirements, identify data sources, and architect scalable solutions tailored to our clients' needs. Leveraging your expertise in Azure and business intelligence, you will be instrumental in shaping the data landscape and driving strategic insights for our clients.**Responsibilities**:- Design end-to-end data architectures, including data ingestion, storage, processing, and visualization, leveraging Azure cloud services.- Collaborate with clients to understand business objectives and translate them into technical requirements and data models.- Develop and maintain data pipelines to ensure the timely and accurate delivery of data for analysis and reporting.- Implement data governance best practices to ensure data quality, integrity, and compliance with regulatory standards.- Optimize and tune database performance for enhanced scalability, reliability, and efficiency.- Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning and growth.- Stay abreast of industry trends and emerging technologies in data management, cloud computing, and business intelligence.**Requirements**:- Bachelor's or master's degree in computer science, engineering, or a related field.- Proven experience as a data architect or similar role, with a strong focus on designing and implementing data solutions.- Proficiency in Azure cloud services, including Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Analysis Services.- Expertise in business intelligence tools such as Power BI, Tableau, or Qlik for data visualization and reporting.- Solid understanding of data modeling principles, including relational, dimensional, and NoSQL databases.- Experience with ETL (Extract, Transform, Load) processes and tools for data integration and transformation.- Strong analytical and problem-solving skills, with the ability to translate complex business requirements into scalable technical solutions.- Excellent communication and interpersonal skills, with the ability to effectively collaborate with both technical and non-technical stakeholders.- Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate or similar are a plus.
