
Data Solutions Architect
1 day ago
We are seeking a highly skilled and motivated data professional with expertise in the Azure Data Platform to fill a key position within our global team.
This role requires hands-on experience in implementing and maintaining complex data solutions using Azure services, focusing on scalability, efficiency, and performance.
Key Responsibilities:
- Design, develop, deploy, and maintain end-to-end data solutions on the Azure Data Platform.
- Collaborate with external service providers during solution implementation to ensure high-quality deliverables.
- Develop 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.
- Evaluate 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 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 beneficial.
- 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.
- Familiarity with DAMA data management principles is an advantage.
- Excellent analytical and problem-solving abilities.
- Strong communication and collaboration skills, with fluency in English.
The successful candidate will have the opportunity to work with cutting-edge technology and collaborate with experienced professionals in the industry.
This role offers a competitive salary and benefits package, as well as opportunities for career growth and professional development.
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