Azure Data Engineer Job at NTT DATA (Bengaluru)

Azure Data Engineer

NTT DATA

Location:
India , Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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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

Additional Information:

Job Posted:
March 21, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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