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Azure Data Engineer

India, Bengaluru · Job Posted March 21, 2026
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Job Description

The Azure Data Engineer role involves leading the design and implementation of enterprise-grade data architectures, focusing on Medallion Architecture and Data Vault methodologies. Candidates should have extensive experience in cloud platforms, data modeling, and data governance. A bachelor's degree in Computer Science or a related field is required, with 12+ years of experience preferred. Certifications in cloud architecture and data vault methodologies are advantageous. This position offers an opportunity to mentor engineering teams and collaborate with stakeholders to drive data quality initiatives.

Job Responsibility

  • Define and implement enterprise-grade Medallion Architecture (Bronze, Silver, Gold layers) for scalable and governed data platforms
  • Architect high-performance data pipelines and lakehouse environments
  • Establish architectural standards, reusable frameworks, and best practices
  • Design and implement secure data solutions on cloud platforms (AWS/Azure/GCP)
  • Ensure compliance with enterprise security, governance, and regulatory requirements
  • Define and enforce: Role-based access control (RBAC), Data encryption (at rest & in transit), Zero-trust principles, Secure data sharing mechanisms
  • Collaborate with InfoSec teams on cloud security posture management
  • Lead implementation of Data Vault 2.0 methodology (Hubs, Links, Satellites)
  • Translate business requirements into scalable logical and physical data models
  • Design optimized dimensional models for reporting (star/snowflake schemas)
  • Establish modeling standards and review processes
  • Architect scalable and governed data exposure mechanisms: APIs, Data sharing frameworks, Semantic layers, BI integrations
  • Define strategies for: Data democratization, Controlled access, Metadata management, Data lineage and observability
  • Ensure performance optimization and SLA adherence for downstream consumers
  • Embed data governance principles into architectural design
  • Implement data quality frameworks and monitoring mechanisms
  • Define metadata management and catalog strategies
  • Engage with business leaders to align architecture with enterprise strategy
  • Mentor engineering teams and provide architectural oversight
  • Work with vendors and system integrators to ensure design compliance

Requirements

  • Deep expertise in Medallion Architecture (Bronze, Silver, Gold layers)
  • Proven experience implementing Data Vault modeling in enterprise environments
  • Strong understanding of enterprise data exposure strategies
  • Advanced knowledge of data modeling (conceptual, logical, physical)
  • Strong experience in Cloud platforms (AWS/Azure/GCP)
  • Hands-on expertise in Cloud Security architecture for data platforms
  • Experience with Lakehouse architectures (e.g., Databricks, Snowflake, BigQuery, Redshift)
  • Strong SQL and distributed data processing knowledge
  • Experience designing batch & streaming architectures
  • Familiarity with data orchestration tools
  • Knowledge of: Data masking, Tokenization, Encryption standards, IAM best practices
  • Experience implementing governance frameworks and compliance standards
  • 12+ years of experience in Data Architecture / Enterprise Data Engineering
  • Proven experience leading large-scale enterprise data transformation programs
  • Strong architectural thinking and systems design capability
  • Excellent stakeholder communication skills
  • Strategic mindset with strong execution orientation
  • Ability to influence cross-functional teams
  • Mentorship and team development experience

Nice to have

  • Certifications (preferred but not mandatory): Cloud Architect (AWS/Azure/GCP)
  • Data Vault 2.0 Certification
  • TOGAF or equivalent
  • Experience in regulated industries is a plus
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