JobRialto
Data Architect with experience in Investment Banking/Risk Management
JobRialto, Boston, MA, United States
Job Summary
We are seeking an experienced Data Architect with a strong background in Investment Banking, specifically focusing on Risk Management. The ideal candidate will have 12-15+ years of experience in the data landscape, with a proven track record in cloud data platforms and data architecture. This role requires expertise in AWS, Snowflake, Data Modeling, and ETL processes. The Data Architect will work closely with cross-functional teams to design and implement scalable, efficient, and secure data solutions for risk management.
Key Responsibilities
Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Experience:
Certifications (if any)
Relevant certifications in AWS, Snowflake, or Data Architecture are a plus.
Education: Bachelors Degree
We are seeking an experienced Data Architect with a strong background in Investment Banking, specifically focusing on Risk Management. The ideal candidate will have 12-15+ years of experience in the data landscape, with a proven track record in cloud data platforms and data architecture. This role requires expertise in AWS, Snowflake, Data Modeling, and ETL processes. The Data Architect will work closely with cross-functional teams to design and implement scalable, efficient, and secure data solutions for risk management.
Key Responsibilities
- Data Architecture & Modeling: Design and implement data models and architecture for data lakes and data warehousing on cloud platforms, with a focus on dimensional modeling.
- Risk Management Solutions: Collaborate with investment banking teams to ensure data solutions align with risk management objectives and requirements.
- Cloud Data Platform: Lead the design and development of data solutions leveraging AWS services, including S3, EMR, Glue, Lambda, and others.
- Snowflake Expertise: Manage the data lifecycle within Snowflake, including data ingestion and transformation using Snowpipe, Snowpart, and other ELT tools.
- ETL & Data Transformation: Build and optimize ETL pipelines, ensuring efficient and scalable data processing.
- Collaboration & Communication: Work closely with business analysts, data engineers, and other stakeholders to ensure seamless integration and functionality of data solutions.
- Data Quality & Governance: Ensure data integrity, security, and governance within all implemented systems and processes.
Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Experience:
- 12-15+ years of experience in data architecture and data management, with a strong focus on investment banking and risk management.
- Minimum of 4-6 years of hands-on experience with AWS and associated data services such as S3, EMR, Glue, and Lambda.
- Expertise in data modeling and data architecture concepts, including experience with dimensional modeling.
- 3-5 years of practical experience with Snowflake, including working with Snowpipe for data ingestion, stored procedures, and different table types.
- Proven experience in ETL processes and tools, including working with various ELT tools for data transformation.
- Strong communication and interpersonal skills for effective collaboration with both technical and business teams.
- In-depth understanding of cloud data platforms and associated technologies.
- Experience with Data Lakes and Cloud Data Warehousing solutions.
- Familiarity with other cloud technologies and platforms beyond AWS.
- Knowledge of risk management tools and solutions within investment banking.
Certifications (if any)
Relevant certifications in AWS, Snowflake, or Data Architecture are a plus.
Education: Bachelors Degree