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6 days ago
We are seeking a highly skilled Cloud Data Architect with expertise in designing, developing, and optimizing data ingestion, transformation, and governance frameworks.
This role will play a pivotal part in enabling real-time and batch data analytics across our data platform by building scalable data pipelines, implementing enterprise-grade data governance, security, and AI-powered engineering automation.
The ideal candidate will have deep expertise in cloud-native data engineering, primarily on Microsoft Azure, and familiarity with AWS and GCP.
- Data Engineering Skills:
- Design and implement scalable, robust, and secure data pipelines using Azure Data Factory, Databricks, Synapse Analytics.
- Develop and maintain ETL/ELT processes for structured and unstructured data.
- Implement Change Data Capture (CDC), streaming pipelines, and batch ingestion.
- Work with AWS Glue, S3, Redshift or GCP BigQuery, Dataflow as needed.
- Optimize performance and cost across data workloads and cloud environments.
Key Responsibilities:
- Establish and maintain data quality frameworks, observability tools, and monitoring dashboards.
- Define and enforce data rules, validations, anomaly detection and reconciliation.
- Implement data lineage and metadata tracking using Azure Purview.
- Drive adoption of data cataloguing, profiling, and classification tools.
- Collaborate with data stewards and compliance teams to ensure governance alignment.
- Implement role-based access control (RBAC), data masking, encryption, and tokenization.
- Mentor junior data engineers and contribute to technical best practices.
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