Data Modelling Architect (CoE)

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Date: Feb 21, 2025

Location: Bangalore, KA, IN

Company: NTT DATA Services

Req ID: 312265 

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 Data Modelling Architect (CoE) to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

 

 

Title: Data Modelling Architect (CoE)

 

Position Overview:

We are seeking a highly skilled and experienced Data Modelling Architect to join our dynamic team. The ideal candidate will have a strong background in full data modelling life cycle, e.g. design, implement, and maintain complex data models that align with organisational goals and industry standards. This role requires a deep understanding of data architecture, data modelling methodologies, and ideally in real-time data integrations. The successful candidate will collaborate with cross-functional teams to ensure optimal data structures that support business intelligence, analytics, and operational requirements.  This role is primarily within the Centre of Excellence of the Data Products Factory, creating, assuring, and overseeing the implementation of data models within analytical and real-time streaming domains.

 

Key Responsibilities

  • Develop conceptual, logical, and physical data models to support data analytics, streaming and data products implementation.
  • Define and maintain data architecture standards, principles, and best practices.
  • Ensure data models are aligned with business requirements and scalable for future needs.
  • Work closely with business stakeholders, data engineers, data solution architects, and data product teams to gather requirements and design solutions.
  • Provide guidance on data integration, transformation, and migration strategies.
  • Establish and maintain enterprise data models, data dictionaries, metadata repositories, and data lineage documentation.
  • Ensure data models comply with organisational policies and regulatory requirements.
  • Optimise data products and their components for performance, scalability, and reliability.
  • Evaluate and recommend data modelling tools and technologies.
  • Stay updated on industry trends and emerging technologies in data architecture.
  • Identify and resolve data inconsistencies, redundancies, and performance issues.
  • Provide technical leadership in addressing complex data-related challenges.

 

Required Skills and Qualifications

  • 10+ years of experience in data architecture and modelling.
  • Proven experience in data modelling, data architecture, and data products design.
  • Proven experience and expertise in data modelling standards, techniques (e.g. dimensional model, 3NF, Vault 2.0)
  • Familiarity with both analytical and real-time/ streaming data solutions (Kafka/Airflow).
  • Hands-on experience with data modelling tools (e.g., Erwin, Lucidchart, SAP PowerDesigner).
  • Expertise in Python and SQL (e.g., Snowflake, Kafka).
  • Experience in AWS cloud services, particularly Lambda, SNS, S3, and EKS, API Gateway
  • Knowledge of data warehouse design, ETL/ ELT processes, and big data technologies (e.g., Snowflake, Spark).
  • Familiarity with data governance and compliance frameworks (e.g., GDPR, HIPAA).
  • Strong communication and stakeholder management skills.
  • Analytical mindset with attention to detail.
  • Ability to lead and mentor teams on best practices in data modelling.
  • Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

 

 

Preferred Skills and Qualifications

- Certifications in data modelling, cloud platforms, or database technologies.

- Experience in developing and implementing enterprise data models.

- Experience with Interface/ API data modelling.

- Experience with CI/CD GITHUB Actions (or similar)

- AWS fundamentals (e.g., AWS Certified Data Engineer)

- Knowledge of Snowflake/ SQL

- Knowledge of Apache Airflow

- Knowledge of DBT

- Familiarity with Atlan for data catalog and metadata management

- Understanding of iceberg tables

 

 

 

 

 

 

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-usThis contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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