Senior Cloud Data Architect

1 week ago

Alleppey, Kerala, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Overview:

We are seeking a senior data engineer with a strong background in cloud-native data engineering, primarily on Microsoft Azure. The ideal candidate will have deep expertise in building scalable data pipelines, implementing enterprise-grade data governance, security, and AI-powered engineering automation.

This role will play a pivotal part in designing, developing, and optimizing data ingestion, transformation, and governance frameworks, enabling real-time and batch data analytics across our data platform.

Main Responsibilities:

  • Design and implement scalable, robust, and secure data pipelines using:
    • Azure Data Factory
    • Databricks
    • Synapse Analytics
    • Azure Data Lake Gen2
    • Event Hub
    • 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, Dataflow 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
  • Responsible for technical design, coding, unit testing, test case documentation, and walkthroughs for all assigned Azure related projects to support business and operational needs

Key Qualifications & Skills:

  • 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, 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, data quality
  • Exposure to privacy-enhancing techniques, access control, 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

Personal Attributes:

  • Strong problem-solving, communication, and stakeholder collaboration skills
  • Ability to lead initiatives and mentor team members
  • Proactive in learning and adopting emerging technologies in data & AI

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