Senior Cloud Data Architect

20 hours ago

Thrissur, Kerala, India beBeeData Full time ₹ 15,00,000 - ₹ 18,00,000
Cloud Data Architect

Role Overview

We are seeking an experienced cloud data architect to design, develop, and maintain scalable data pipelines and architectures that support business analytics initiatives. This role will focus on building production-ready workflows for ingestion, transformation, quality checks, lineage capture, access auditing, cost usage analysis, retention tracking, and metadata integration using Azure Databricks, Azure Data Lake, and Microsoft Purview.

Key Responsibilities:

  • Pipeline Design & Development: Develop robust ETL/ELT pipelines in Databricks (PySpark, SQL, Delta Lake) to ingest, transform, and curate governance and operational metadata from multiple sources landed in Databricks.
  • Granular Data Quality Capture: Implement profiling logic to capture issue-level metadata (source table, column, timestamp, severity, rule type) to support drill-down from dashboards into specific records and enable targeted remediation.
  • Governance Metrics Automation: Develop data pipelines to generate metrics for dashboards covering data quality, lineage, job monitoring, access & permissions, query cost, usage & consumption, retention & lifecycle, policy enforcement, sensitive data mapping, and governance KPIs.
  • Microsoft Purview Integration: Automate asset onboarding, metadata enrichment, classification tagging, and lineage extraction for integration into governance reporting.
  • Data Retention & Policy Enforcement: Implement logic for retention tracking and policy compliance monitoring (masking, RLS, exceptions).
  • Job & Query Monitoring: Build pipelines to track job performance, SLA adherence, and query costs for cost and performance optimization.
  • Metadata Storage & Optimization: Maintain curated Delta tables for governance metrics, structured for efficient dashboard consumption.
  • Testing & Troubleshooting: Monitor pipeline execution, optimize performance, and resolve issues quickly.
  • Collaboration: Work closely with the lead engineer, QA, and reporting teams to validate metrics and resolve data quality issues.
  • Security & Compliance: Ensure all pipelines meet organizational governance, privacy, and security standards.

About Us

Our organization is dedicated to providing innovative solutions for data management and analytics. We offer a collaborative work environment and opportunities for professional growth.

What We Offer

  • A competitive salary and benefits package
  • The opportunity to work with cutting-edge technologies
  • A collaborative and dynamic work environment

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