Senior Data Architect (15+ years) - Full Time
Senior Data Architect (15+ years) - Full Time
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- This position description identifies the responsibilities and tasks typically associated with the performance of the position.
- Other relevant essential functions may be required.
- Bachelors or Masters degree in Computer Science Engineering or a related quantitative field.
- 15 years of experience in data architecture data engineering or a similar role with a proven track record of designing and delivering large-scale data solutions.
- Extensive hands-on experience with Snowflake including performance tuning security best practices and cost management.
- Expert-level knowledge of the AWS ecosystem including S3 EC2 Lambda Glue IAM and networking fundamentals.
- Advanced programming proficiency in Python for data manipulation pipeline development and automation.
- Demonstrable experience architecting and delivering data solutions for BI and analytics with direct experience using tools like Sigma and/or Power BI.
- Crucially extensive experience and deep domain knowledge of financial services back-office operations specifically within Risk Management (e.g. trade lifecycle settlement risk counterparty data collateral).
- Expert-level understanding of data architecture patterns (e.g. Data Warehousing Data Lake Data Mesh) data modeling and data governance principles.
- Must be based in or willing to relocate to the New York City metropolitan area.
- Deep practical experience with data security principles and implementation including data encryption (at-rest in-transit) tokenization and managing Material Non-Public Information (MNPI).
- Experience with data transformation tools like dbt (Data Build Tool).
- Familiarity with infrastructure-as-code (IaC) tools such as Terraform or CloudFormation.
- Knowledge of streaming data technologies (e.g. Kafka Kinesis).
- Strong understanding of financial instruments across equities fixed income and derivatives.
Employment Type
Full-time
