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.