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Senior Data Architect - Hybrid Position

NTT DATA
New York City, United Statesfull_timeVerifiedPosted 22 Jan 2026

About the role

Req ID: 355609 

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 Architect - Hybrid Position to join our team in New York, New York (US-NY), United States (US).

 

Day to Day job Duties:

  • Lead the design and implementation of enterprise‑level data architecture for large-scale banking and financial systems.
  • Develop comprehensive data models (conceptual, logical, physical) to support transactional, operational, and analytical workloads.
  • Architect and optimize data transformation, data integration, and ETL/ELT pipelines using Informatica or Talend.
  • Design scalable data storage, archival, retention, and retrieval solutions across PostgreSQL, Oracle, and Snowflake.
  • Perform data performance engineering, including SQL optimization, indexing, and partitioning for high-volume systems.
  • Create, refine, and validate complex SQL queries, scripts, and stored procedures supporting business analytics and reporting.
  • Build and support enterprise dashboards by enabling Power BI semantic models and performance tuning.
  • Develop and automate Unix Shell Scripts for data ingestion, scheduling, and workflow orchestration.
    Collaborate with cross-functional teams to support business, regulatory, risk, fraud, and compliance reporting needs.
  • Maintain and enhance data quality, metadata, lineage, and governance standards across enterprise platforms.
  • Troubleshoot and resolve data issues related to ETL pipelines, storage performance, and analytic workloads.
  • Participate in Agile ceremonies including sprint planning, backlog refinement, and architectural review sessions.
  • Ensure enterprise systems meet data security, audit, privacy, and retention requirements aligned with banking regulations.
    Drive continuous improvement of data infrastructure, scalability, reliability, and performance.

 

Required Qualifications:

  • 10+ years of enterprise-level experience in data architecture, data modeling, data transformation, data storage, data archival, and performance engineering.
  • 5+ years of advanced hands-on experience with Informatica or Talend for ETL/ELT development
  • 7+ years experience with relational and cloud data platforms such as PostgreSQL, Oracle, and Snowflake
  • 8+ years experience writing and tuning Advanced SQL for large-scale datasets (minimum 8+ years).
  • 5+ years experience creating and optimizing Power BI dashboards, semantic models, and DAX expressions.
  • Strong proficiency in Unix Shell Scripting for automation and data workflows (minimum 5+ years).
  • Deep understanding of enterprise data governance, data quality, metadata management, and lineage tracking.
  • Excellent communication, documentation, and analytical skills required to support large banking/financial organizations.

 

Preferred Qualifications

  • Banking or Financial Services domain experience.
  • Exposure to Python, Databricks, and Apache Spark.
  • Experience with cloud-based data platforms and distributed compute environments.
  • Project lead or data architecture leadership experience.

 

 

Preferred location: New York City, US, hybrid at client site

 

Degree:

Bachelor’s in Computer Science, Information Systems, Engineering, or equivalent work experience.

 

#INDFSINS

#LI-NorthAmerica

 

 

About NTT DATA

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Company

NTT DATA

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