Senior Data Architect - Hybrid Position
NTT DATAAbout 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.
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