The role of a Cloud Data Architect is pivotal, responsible for designing and implementing scalable data infrastructure to enable advanced analytics.
Key Responsibilities:
* Design and build scalable data structures and pipelines in the cloud to support enterprise analytics.
* Develop optimized data models, databases, and storage architectures using Azure Synapse and Data Lake.
* Migrate existing on-premises or legacy data pipelines to the cloud, minimizing downtime and ensuring data integrity.
* Collaborate with cross-functional teams to define data governance frameworks and best practices.
* Ensure performance tuning, security compliance, and cost optimization across all cloud-based data solutions.
Required Skills and Qualifications:
* Proven experience in cloud data engineering, with hands-on migration expertise.
* Deep knowledge of Azure Synapse Analytics, Azure Data Lake, SQL, and ETL tools.
* Strong background in data modeling, data warehousing, and pipeline development using Python and Spark.
* Solid understanding of big data architectures, distributed systems, and cloud security principles.
* Ability to work collaboratively with technical and non-technical stakeholders, with strong communication skills.