Senior Data Modeler

Req ID: 360167 

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 Senior Data Modeler to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Job Summary

Seeking a highly skilled Senior Data Modeler with extensive experience in building scalable data platforms, modern data warehouses, and cloud-based data solutions. The ideal candidate will have strong expertise in SQL, data modeling, ETL/ELT development, and cloud technologies such as Azure and Snowflake.

This role involves designing and optimizing data pipelines, ensuring data quality and governance, and partnering with cross-functional teams to deliver reliable, high-performance analytics solutions.

Key Responsibilities

• Design, develop, and maintain scalable data warehouse and lakehouse architectures
• Build robust ETL/ELT pipelines using tools such as Azure Data Factory, DBT, Databricks, and Spark
• Develop and optimize complex SQL queries for high-performance data processing
• Implement data ingestion frameworks for structured and unstructured data sources (APIs, databases, cloud storage)
• Perform data modeling (conceptual, logical, physical, dimensional modeling)
• Ensure data quality, lineage, validation checks, and governance standards
• Support cloud data platform implementations (Azure, Snowflake, Synapse, etc.)
• Collaborate with business stakeholders, analytics teams, and architects to translate requirements into technical solutions
• Contribute to CI/CD processes using Git, Jenkins, or similar tools
• Mentor junior engineers and promote best practices in data engineering

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field
• 8+ years of experience in Data Engineering, Data Warehousing, or related roles
• Strong expertise in SQL and performance tuning
• Hands-on experience with Snowflake or Teradata
• Experience building data pipelines using Azure Data Factory, DBT, Databricks, or Spark
• Strong understanding of data modeling concepts (fact/dimension, indexing, partitioning)
• Experience working with cloud platforms (Azure preferred; AWS or GCP a plus)
• Familiarity with Agile methodologies and DevOps practices
• Excellent problem-solving and communication skills

Preferred Qualifications

• Experience with large-scale enterprise data warehouse migrations
• Financial services, healthcare, telecom, or large enterprise domain experience
• Experience implementing data governance and metadata management solutions
• Certifications in cloud platforms (Azure, Snowflake, AWS) preferred

Technical Skills

1. Databases & Querying:
   SQL, Snowflake, Teradata
2. Cloud & Big Data:
   Azure (ADF, Synapse, Data Lake), Databricks, Spark
3. ETL & Transformation:
   ADF, DBT, Informatica (nice to have)
4. DevOps & Tools:
   Git, Jenkins, JIRA
5. Programming:
   Python / PySpark
6. #LI-NorthAmerica

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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