
Cloud Data Architect
1 day ago
About this Role
We seek a skilled and motivated professional to design and implement complex data solutions using Azure services, focusing on scalability, efficiency, and performance.
Key Responsibilities:
- Design and develop end-to-end data solutions on the Azure Data Platform, including implementation, deployment, and maintenance.
- Collaborate with external service providers during solution implementation to ensure high-quality deliverables.
- Develop and maintain a deep understanding of Azure cloud services, particularly Azure Data Lake, Azure Databricks, Microsoft Fabric, Azure Data Factory, and Azure Machine Learning.
- Design and implement scalable data pipelines and integration solutions, including working with data from SAP and Salesforce.
- Ensure data accuracy, performance, and reliability across all stages of the ETL lifecycle.
- Provide technical guidance and mentorship to junior team members.
- Participate in Agile development cycles and contribute to sprint planning and delivery.
Required Skills and Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's degree or further studies in Data Science/Analytics is a plus.
- 4-8 years of proven experience as a Data Engineer or similar role with a focus on the Azure Data Platform.
- Strong proficiency in:
- Azure Data Lake
- Azure Databricks
- Azure Data Factory
- Microsoft Fabric
- Azure Machine Learning
- Azure Cognitive Services
- Azure Cosmos DB or other NoSQL databases
- Solid understanding of data warehouse, data lake, and lakehouse architectures.
- Hands-on experience integrating data from enterprise platforms such as SAP and Salesforce.
- Relevant Azure certification: DP-203 (Azure Data Engineer Associate) or AZ-305 (Designing Microsoft Azure Infrastructure Solutions).
- Strong skills in SQL, Python, and cloud-based ETL development.
- Experience working in Agile development environments.
Benefits:
- Familiarity with DAMA data management principles is an advantage.
- Excellent analytical and problem-solving abilities.
- Strong communication and collaboration skills, with fluency in English.
- Ability to work independently and effectively in a remote, geographically dispersed team.
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