Azure Data Engineer with Data bricks,ADF

Req ID: 362027 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Azure Data Engineer with Data bricks,ADF to join our team in Bengaluru, Karnātaka (IN-KA), India (IN).

Key Responsibilities

1. Data Architecture Leadership

• 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.

2. Cloud Architecture & Security

• 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.

3. Data Vault & Data Modeling

• 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.

4. Data Exposure & Data Consumption Strategy

• 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.

5. Governance & Quality

• Embed data governance principles into architectural design.
• Implement data quality frameworks and monitoring mechanisms.
• Define metadata management and catalog strategies.

6. Stakeholder & Vendor Collaboration

• 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.

Required Skills & Expertise

Core Technical Skills

• 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.

Data Platform & Engineering

• 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.

Security & Governance

• Knowledge of:
• Data masking
• Tokenization
• Encryption standards
• IAM best practices
• Experience implementing governance frameworks and compliance standards.

Preferred Qualifications

• 12+ years of experience in Data Architecture / Enterprise Data Engineering.
• Proven experience leading large-scale enterprise data transformation programs.
• 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.

Leadership & Behavioral Competencies

• 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.

Success Criteria

• Establishment of scalable, secure Medallion-based data architecture.
• Successful implementation of Data Vault model at enterprise scale.
• Secure and governed data exposure framework.
• Adoption of standardized modeling and governance practices.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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