Cloud Data Architect

2 weeks ago

Gulbarga, Karnataka, India beBeeDataEngineering Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: Cloud Data Architect

We are seeking an experienced Cloud Data Architect to design, develop and optimize 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.


Key Responsibilities:

  • Design and implement scalable, robust and secure data pipelines using Azure Data Factory, Databricks, Synapse Analytics and Azure Functions.
  • 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 as needed.
  • Optimize performance and cost across data workloads and cloud environments.
  • 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.

Requirements:

  • 4+ years in data engineering with at least 2+ years on Azure cloud platform.
  • Hands-on with Azure Data Factory, Azure Data Lake Gen2, Databricks, Synapse and Purview.
  • Proficiency in SQL, PySpark, Python and data orchestration tools.
  • Strong understanding of data architecture patterns – Lakehouse, medallion, delta architecture.
  • Familiarity with Snowflake, BigQuery, Redshift or AWS Glue.
  • Experience with data versioning and GitOps for data.
  • Working knowledge of data observability, lineage, cataloguing and data quality.
  • Exposure to privacy-enhancing techniques, access control and security auditing.
  • Exposure to machine learning use cases in data engineering pipelines, data quality, anomaly detection and schema change detection.
  • Exposure to GenAI or agentic AI to automate data cataloguing and metadata enrichment etc.
  • Experience with NLP or LLMs in metadata extraction or data classification is a plus.

Qualification:

Bachelor's degree in Computer Science or relevant field with 4 to 8 years' experience in Data Engineering.

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