Join NTT DATA, a global technology leader, as a Data Architect Advisor. We are seeking innovative and passionate individuals to contribute to our forward-thinking organization. This role is ideal for experienced professionals looking to make a significant impact in data architecture and strategy.

We are committed to accelerating client success and fostering a positive societal impact through responsible innovation. As a key player in AI and digital infrastructure, NTT DATA offers unparalleled capabilities in enterprise-scale AI, cloud, security, and data services.

Our work involves helping organizations navigate the digital future confidently and sustainably. With experts in over 50 countries and a robust ecosystem of innovation, we provide cutting-edge solutions to our clients worldwide.

Design and implement comprehensive data models and architectures that support complex transaction-heavy business environments.

Leverage expertise in enterprise data modeling tools such as Erwin Data Modeler, ER/Studio, or Hackolade for robust data solutions.

Apply advanced knowledge of both relational (SQL Server, Oracle, PostgreSQL) and NoSQL database architectures.

Utilize expert-level SQL for data validation and analytical profiling, alongside scripting languages like Python.

Manage and structure nested data formats including JSON, XML, and Copybook schemas effectively.

Provide deep domain expertise in banking, understanding transaction types, field components, and regulatory guidelines.

Possess a Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related technical field.

Bring over 6 years of dedicated experience as a Data Modeler or Enterprise Data Architect in transaction-intensive business settings.

Demonstrate hands-on experience designing data structures for modern cloud platforms like Azure Synapse/Data Lake, AWS Redshift, or Snowflake.

Exhibit proficiency with various data modeling tools and database management systems, including cloud and big data platforms. Expert-level SQL and scripting skills are essential.