Cloud Data Solutions Architect
2 days ago
We are seeking a highly skilled Cloud Data Solutions Architect to join our team at Applied Information Sciences. As a key member of our team, you will design, plan, and model data platform solutions on Azure, leveraging your extensive experience in architecting data solutions with a focus on microservices principles.
Key Responsibilities:
- Lead the design and architecture of data solutions using Azure Databricks, Collibra, and other Azure services, following microservices principles.
- Develop and implement data models that support business intelligence tools such as Power BI, Cognos, and Tableau.
- Utilize cloud-based tools to create, manage, and optimize data pipelines for high-volume production systems.
- Use programming languages such as SQL, Python, and R to access, transform, and analyze data.
- Deploy and manage Databricks notebooks and workflows to streamline data processing and analytics.
- Work in an Agile environment, collaborating with cross-functional teams to iteratively develop and deliver data products.
- Continuously optimize data pipeline performance to ensure efficiency and reliability in data processing.
- Develop and maintain Power BI data models, ensuring they meet business requirements and performance standards.
Qualifications:
- 5-7 years of experience in developing cloud-based data solutions, with a strong emphasis on Azure.
- Databricks Certified Data Engineer Associate or Professional Certification (Required at Call proposal).
- Azure Administrator Associate (AZ-104) and Azure Solutions Architect Expert (AZ-305) certifications (Preferred at Call proposal).
- Extensive experience in architecting data solutions using microservices principles with Databricks on Azure and Collibra.
- Proficient in using SQL, Python, and R for data transformation and analysis.
- Deep understanding of Databricks workflows and deployment processes.
- Expertise in data modelling for business intelligence platforms like Power BI, Cognos, and Tableau.
- Proven track record in optimizing data pipeline performance.
- Strong experience in Agile methodologies and collaborative development environments.
Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis covered by law.
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