Senior Data Architect — Enterprise Banking Data Strategy
Compunnel, Inc.
New York (NY)
On-site
USD 120,000 - 150,000
Full time
14 days+
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Job summary
A technology consulting firm is seeking an experienced Senior Data Architect with over 10 years of expertise in designing enterprise-level data architecture, particularly in the Banking domain. The role involves creating scalable data ecosystems and leading data transformation initiatives using tools like Informatica, Oracle, PostgreSQL, and Power BI. The ideal candidate will have strong skills in advanced SQL and Unix Shell Scripting, and a solid understanding of data governance and standards. This role is pivotal for driving data-driven decision-making across the organization.
Qualifications
10+ years of enterprise-level data architecture experience.
10+ years of hands-on experience in data modeling (conceptual, logical, physical).
10+ years of experience in data transformation and integration.
10+ years of experience in data storage, archival, and performance engineering.
Strong understanding of enterprise data standards, governance, and security.
Responsibilities
Design and implement enterprise data architecture frameworks supporting analytics and reporting.
Develop conceptual, logical, and physical data models aligned with requirements.
Lead data transformation initiatives ensuring accuracy and consistency across systems.
Architect data storage and performance optimization strategies.
Apply advanced SQL and Unix Shell Scripting for complex data operations.
Skills
Informatica or Talend
PostgreSQL, Oracle, or Snowflake
Power BI
Advanced SQL
Unix Shell Scripting
Job description
A technology consulting firm is seeking an experienced Senior Data Architect with over 10 years of expertise in designing enterprise-level data architecture, particularly in the Banking domain. The role involves creating scalable data ecosystems and leading data transformation initiatives using tools like Informatica, Oracle, PostgreSQL, and Power BI. The ideal candidate will have strong skills in advanced SQL and Unix Shell Scripting, and a solid understanding of data governance and standards. This role is pivotal for driving data-driven decision-making across the organization.