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Are you passionate about designing and architecting cutting-edge data technology solutions in Azure? Do you thrive in driving excellence and innovation? Join our team as a Data Solution Architect and lead our Centre of Excellence service to new heights!
What You'll Be Doing:
- Innovative Design: Research and design multiple end-to-end solutions for enterprise customers simultaneously.
- Problem Solving: Identify and address concern areas such as governance, security, maturity, adoption, and functional/non-functional requirements.
- Collaboration: Work closely with project members and customers to ensure project timelines, development, and deliverables are on track, while effectively communicating findings to stakeholders.
- Education & Training: Educate, train, and build knowledge of enterprise data platforms and solutions with customers and internal teams.
- Continuous Learning: Stay current with technical and industry developments, including pursuing relevant certifications.
- Documentation: Document all designs and solutions meticulously.
- Consultative Approach: Maintain a consultative approach to all projects.
Must-Have Skills and Experience:
- Expertise: Deep knowledge and significant experience in delivering Big Data architecture and design solutions.
- Technical Proficiency: Experience in data cataloguing, modelling, warehousing, and analytics.
- Security & Governance: Proven understanding of security and governance principles.
- Tools: Proficiency in PowerPoint, Tableau, and Power BI.
- Cloud Services: Strong understanding of Azure or AWS, Infrastructure as Code (IaC), and cloud services (IaaS, SaaS, PaaS).
- Frameworks: Understanding of Well Architected frameworks, security principles, and Agile/Waterfall project lifecycle.
- Database Knowledge: Proficiency in SQL and NoSQL databases.
- Design & Implementation: Experience with three or more of the following: Azure Synapse, Azure SQL DB, Cosmos DB, Mongo DB, Redshift, S3, Stream Analytics, Kinesis, Azure Data Factory, IoT Hub, Azure ML Studio, SageMaker Modelling, Azure Data Lake Gen2, HD Insight.
- Programming: Knowledge of SQL and Python.
- DevOps: Experience with Azure DevOps.
- Qualifications: Architecture and cloud-related qualifications such as TOGAF.