Were seeking a seasoned Cloud Data Architect with a deep understanding of Microsoft Azure and Databricks. As a key member of our team, youll leverage your expertise in data engineering, modeling, and ETL pipelines to deliver innovative, scalable data solutions that drive business value.
responsibilities :
Databricks & Data Engineering: Design and implement robust Databricks Lakehouse architectures, leveraging Python, PySpark, and SQL to manage and process large datasets efficiently.
Data Modeling & Design: Develop effective data models (e.g., dimensional, Data Vault) and implement efficient transformation processes (e.g., Medallion Architecture).
Azure Cloud Expertise: Utilize Azure Data Services (Data Factory, Synapse, SQL, Data Lake, DevOps) to build scalable and integrated data-driven solutions.
DevOps & Automation: Employ Azure DevOps and GitHub to automate deployment processes and ensure efficient CI/CD pipelines.
Business Collaboration: Partner with clients and stakeholders to understand their needs and deliver solutions that align with business objectives.
Requirements Gathering: Collaborate with clients to gather requirements, define technical specifications, and conduct solution workshops.
requirements-expected :
Proven experience in data architecture, with a strong focus on Microsoft Azure and Databricks.
Expertise in data engineering, data modeling, and ETL pipelines.
Proficiency in Python, PySpark, SQL, and Azure Data Services.
Strong understanding of data warehousing and database best practices.
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team.
offered :
Competitive salary range.
Comprehensive benefits package.
Opportunities for professional development and career growth.
