About this opportunity
Compunnel, Inc. lists this Data Architect opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
We are seeking an experienced Senior Data Architect with deep expertise in enterprise-level data architecture within the Banking domain.
The ideal candidate will have 10+ years of experience designing scalable data ecosystems, including data modeling, data transformation, data storage, data archival, and performance engineering.
This role requires strong hands-on experience with Informatica/Talend, PostgreSQL/Oracle/Snowflake, Power BI, advanced SQL, and Unix Shell Scripting.
The Data Architect will collaborate with cross-functional teams to define data strategies, ensure architectural consistency, and enable data-driven decision-making across the organization.
Key Responsibilities
Design and implement enterprise data architecture frameworks supporting analytics, reporting, and operational systems.
Develop conceptual, logical, and physical data models aligned with business and technical requirements.
Lead data transformation initiatives, ensuring accuracy, consistency, and scalability across systems.
Architect data storage, data archival, and performance optimization strategies.
Apply advanced SQL and Unix Shell Scripting to support complex data operations.
Leverage tools such as Informatica, Talend, PostgreSQL, Oracle, Snowflake, and Power BI for enterprise data solution delivery.
Partner with stakeholders to translate business needs into scalable and secure data architectures.
Ensure data quality, lineage tracking, and governance adherence across platforms.
Troubleshoot performance issues and implement improvements at the data model and system level.
Guide development teams on data architecture best practices and standards.
Required Qualifications
10+ years of enterprise-level data architecture experience.
10+ years of hands-on experience in:
Data modeling (conceptual, logical, physical)
Data transformation and integration
Data storage, archival, and performance engineering
10+ years of experience with:
Informatica or Talend
PostgreSQL, Oracle, or Snowflake
Power BI
10+ years of advanced experience in SQL and Unix Shell Scripting.
Strong understanding of enterprise data standards, governance, and security.
Ability to design scalable data architecture solutions for large, complex environments.
Preferred Qualifications
Banking domain experience (highly preferred).
Exposure to Python, Databricks, and Apache Spark.
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.