Solution Architect
Listed on 2026-03-09
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IT/Tech
Data Engineer, Data Warehousing, Data Security, Data Analyst
data architecture or solution architecture - designing and delivering large-scale data platforms - 7+ years
designing data architectures on Oracle, Databricks, and Snowflake
modern data orchestration and storage frameworks, such as Apache Airflow and Iceberg
integrate diverse data sources and design robust data models to support business intelligence, reporting, and regulatory reporting specifically for financial risk (RDARR).
implementing data lineage solutions, and managing critical data elements within a financial services context.
Data architecture , data modelling (dimensional modeling for regulatory reporting), and data governance frameworks compliant with BCBS 239
Data warehousing and ETL/ELT patterns, particularly within a financial risk context
Strong communication and presentation skills
Project Overview
Lead the architectural strategy, design, and governance of the enterprise data ecosystem, driving the modernization and consolidation of data platforms to support business intelligence, advanced analytics, and regulatory reporting. This includes a critical focus on Risk Data Aggregation and Risk Reporting (RDARR), ensuring compliance with BCBS 239 principles.
Contractor’s Role
Provide strategic vision for data architecture , platforms, and governance, translating business objectives into effective, scalable, and secure technical solutions.
Lead the end-to-end design of complex data solutions, including data warehousing, data modeling, and reporting infrastructure, with a critical emphasis on RDARR capabilities.
Serve as a subject matter expert for data technologies and regulatory requirements, guiding the selection and implementation of platforms such as Databricks and Snowflake to meet BCBS 239 standards.
Govern architectural standards and best practices, ensuring all data initiatives align with the long-term data strategy, overall enterprise architecture , and BCBS 239 principles.
Establish and enforce data lineage protocols, with a focus on Critical Data Elements (CDEs), to ensure traceability, accuracy, and completeness for risk reporting.
Mentor and guide data engineering and BI teams, providing architectural oversight throughout the solution delivery lifecycle, particularly for RDARR implementation and data governance.
Experience Level – (Senior)
7+ years of experience in data architecture or solution architecture , with a proven track record of designing and delivering large-scale data platforms.
Deep expertise in designing data architectures on Oracle, Databricks, and Snowflake, considering performance optimization and scalability requirements for financial data.
Extensive experience with modern data orchestration and storage frameworks, such as Apache Airflow and Iceberg.
Proven ability to integrate diverse data sources and design robust data models to support business intelligence, reporting, and regulatory reporting specifically for financial risk (RDARR).
Strong understanding and direct experience with BCBS 239 principles for risk data aggregation and reporting, including governance, data quality, timeliness, and adaptability.
Hands-on experience in implementing data lineage solutions, and managing critical data elements within a financial services context.
Qualifications
Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent professional experience.
In-depth knowledge of data architecture principles, data modeling techniques (including dimensional modeling for regulatory reporting), and data governance frameworks compliant with BCBS 239.
Strong communication and presentation skills, with the ability to convey complex technical concepts and strategy, including regulatory requirements related to data, to both technical and executive-level stakeholders.
Expertise in data warehousing and ETL/ELT patterns, particularly within a financial risk context.
Relevant industry certifications (e.g., cloud platform architect certification) or certifications related to data management and governance are highly valued.
Nice to Have
Experience with other risk management software or enterprise risk processes.
Proficiency with Agile or other iterative development…
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