
Cloud Data Architect
4 days ago
Job Title: Cloud Data Architect
">We are seeking a highly skilled Cloud Data Architect to join our team. As a Cloud Data Architect, you will play a key role in designing and implementing cloud-based data architectures that meet the needs of our global business units.
- Key Responsibilities:
- Collaborate with cross-functional teams to define and deliver data analytics solutions on the Global Data Analytics Platform (Azure, Databricks).
- Integrate and manage new global data sources, ensuring timely delivery of high-quality, reliable data.
- Implement automated data quality checks and metadata-driven frameworks to govern data engineering processes.
- Design, build, and maintain data warehouse models, data pipelines, and transformation workflows.
- Develop and support advanced analytics tools, including data science sandboxes, ML models, generative AI, data marts, catalogs, and lineage.
- Continuously enhance the analytics platform to stay relevant and future-ready.
- Work with analytics teams across all CRISP-DM phases and align with data policies, standards, and best practices.
- Organize workshops and seminars to strengthen data culture and analytics capabilities across the organization.
Requirements:
- Degree from a recognized university, preferably in Data Analytics or Computer Science domain.
- At least two years' hands-on experience as a Data Engineer, including at least one year using Microsoft and/or Databricks data tools.
- Knowledge of data warehouse concepts (Star, Snowflake, or data vault) methodology and experience in designing data warehouse dimensional modeling.
- Hands-on experience in Azure Data Factory, Azure Synapse Analytics/Datawarehouse, Azure Analysis Services, Azure Databricks, Azure Fabric, and Python.
- Preferably with relevant certifications from Microsoft, including Azure Data Engineer Associate, and/or Databricks, including Databricks Certified Data Engineer Associate.
- Preferably with hands-on experience in using Azure OpenAI and/or Azure AI Services.
What We Offer:
- Good remuneration package.
- Great opportunity to promote data culture and data analytics competency.
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