Cloud-Native Data Architect

1 week ago

Thāne, Maharashtra, India beBeeDataEngineering Full time ₹ 15,00,000 - ₹ 22,50,000
Senior Data Engineer Job Summary

We are seeking an experienced Senior Data Engineer to join our team in designing, developing, and optimizing data ingestion, transformation, and governance frameworks. This role will enable real-time and batch data analytics across our data platform using cloud-native data engineering on Microsoft Azure, familiarity with AWS and GCP, and deep expertise in building scalable data pipelines.

The ideal candidate will have hands-on experience with Azure Data Factory, Databricks, Synapse Analytics, and a strong understanding of data architecture patterns – Lakehouse, Medallion, Delta Architecture.

This position requires technical design, coding, unit testing, test case documentation, and walkthroughs for all assigned Azure related projects.

In addition, the successful candidate will collaborate with developers and subject matter experts to establish the technical vision and analyze trade-offs between usability and performance needs.

They will also mentor junior data engineers and contribute to technical best practices.

  • Data Engineering Responsibilities:
  • 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.
  • Orientate towards cost-effective solutions while maintaining high-performance standards.
  • 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.

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