Data Architect (Microsoft Data Services)
Location: Birmingham (Hybrid working - office and remote)
Contract Type: Permanent
Salary: £65,000 to £80,000 + car allowance, benefits, 2 paid volunteering days, and bonus
Hours: 9:00 AM - 5:30 PM, Monday to Friday
Why Join Us?
Competitive salary and benefits
Flexible hybrid working
Career growth and learning opportunities
Work with a leading IT company focused on IT transformation and exceptional customer experiencesRole Overview
We are looking for a skilled Data Architect to design and implement innovative data solutions using Microsoft Data Services (Azure Data Factory, Synapse, Power BI). You'll collaborate with customers to solve data challenges, ensuring scalable, secure, and cost-effective architectures that drive success.
Key Responsibilities
Translate customer requirements into actionable data architecture and implementation plans
Lead data pipeline design, ETL/ELT processes, and integrations using Azure tools
Collaborate with infrastructure teams on scalable and secure Azure data architectures
Develop and define best practices for database design, data modelling, and ETL
Build strong relationships with customers, positioning yourself as a trusted advisor
Ensure compliance with security and information assurance requirements
Document data architecture, processes, and solutions clearlySkills & Experience
Proven experience in Data Architecture with expertise in Microsoft Data Services (Azure Synapse, Power BI, Azure Data Factory, etc.)
Strong communication and leadership skills
Experience with data warehousing, data lakes, and pipeline design
Hands-on experience with SQL, Python, or Scala
Azure certifications (e.g., Azure Solutions Architect or Azure Data Engineer) are a plusAbout Us
We are a global IT company dedicated to simplifying the complex through innovative solutions and exceptional customer experiences. With our headquarters in Birmingham, we combine unique ideas, people, and disciplines to help clients succeed through IT transformation.
Join us and help shape the future of data solutions
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