Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
About the role
- Senior Data Architect responsible for evaluating and designing data architectures for Global Risk Management. Leading strategy for data management products and supporting risk reporting capabilities.
Responsibilities
- Evaluate and design scalable data architectures to support Global Risk Management (GRM) data and reporting needs
- Lead the strategy and architecture for data management products such as Data Catalog, Data Lineage, Data Feeds Registry, and Data Quality services
- Design high-quality data products that support quantitative modeling and risk reporting solutions
- Perform regular assessments of the health and maturity of data and information capabilities within the GRM domain
- Evangelize and design new data solutions to support risk lines of business and evolving regulatory requirements
- Contribute to defining data strategy, including mission, goals, principles, and operating procedures
- Support the development of business cases to secure approval and funding for data and analytics initiatives
- Understand and manage end-to-end change impacts, linking information capabilities with operational and analytical technical assets
- Maintain integrated logical data models and data flows to ensure data consistency and traceability across platforms
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, Analytics, Risk Management, or a related field; advanced degree preferred
- 8+ years of experience in data platforms, data solutions, and data management architecture
- Strong knowledge of data management, data governance practices, and industry standards
- Deep understanding of BCBS 239 principles and their implementation in large organizations
- Proven experience with risk reporting systems, data warehouses, reporting tools, and governance frameworks
- Expertise in designing complex architectures, including microservices, APIs, data warehouses, data lakes, and data pipelines
- Hands-on experience with data technologies such as Python, Spark, Airflow, JavaScript, and SQL
- Experience with relational and NoSQL databases, as well as big data environments
- Strong experience with data modeling for complex data pipelines and data platforms
- Familiarity with data quality frameworks, metadata management, data lineage tools, and control monitoring
- Experience with data management platforms such as Collibra (preferred) or open-source alternatives like Apache Atlas, Amundsen, DataHub, or Marquez
- Proficiency in Agile delivery methodologies (e.g., Scrum, SAFe)
- Excellent communication skills with the ability to translate regulatory requirements into actionable technical solutions
- Strong stakeholder management and cross-functional leadership capabilities
- Knowledge of modern data storage layers and formats such as Apache Iceberg, Hudi, Delta Lake, Parquet, JSON, and Avro (nice to have)
- Experience with graph processing and storage technologies, including knowledge graphs or property graphs (TigerGraph preferred) (nice to have)
- Exposure to Linked Data, Open Data initiatives, and GenAI-based data solutions (nice to have)
Benefits
- Medical insurance
- Competitive compensation and growth opportunities
- Work in a rapidly growing, innovative tech company
- Collaborate with top-tier multinational clients
- A multicultural community of experts
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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