Senior Data Architect / Application Engineer

Hudson Manpower • New York, NY

6d • Hybrid

About The Position

We are seeking a highly skilled Senior Data Architect / Application Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining data platforms and application infrastructure. You will play a key role in driving innovative data solutions while ensuring platform reliability, security, and performance.

Requirements

• 12–15 years of experience as an application developer or data engineer.
• Strong communication and collaboration skills .
• Experience working in Agile environments .
• Ability to design and document technical architectures and system designs .
• Proactive and self-driven team player with strong analytical skills.
• Python (expert level) including PySpark / Spark for data engineering.
• Azure Databricks with experience implementing Medallion Lakehouse Architecture .
• Strong SQL expertise including joins, unions, stored procedures, and query optimization.
• REST API development using frameworks such as Django, Flask, or FastAPI .
• Experience with CI/CD pipelines using Git, Jenkins, and Azure DevOps .
• Experience building data ingestion and transformation pipelines .
• Cloud platform certification such as AWS Certified Cloud Practitioner or equivalent.
• Strong experience in Credit Risk and Counterparty Risk within the financial services or capital markets domain .

Nice To Haves

• Advanced degree in Finance, Computer Science, or related field .
• Experience with risk modeling and financial analytics .
• Knowledge of deployment, operational support, and monitoring tools .
• Exposure to technical architecture design and system documentation .

Responsibilities

• Lead architecture and technical design discussions using industry best practices and modern technologies.
• Support production operations and resolve complex issues within the Credit Risk application platform .
• Design and implement batch and ad-hoc data pipelines using Medallion Lakehouse architecture on modern cloud platforms, primarily Databricks .
• Build and maintain data ingestion pipelines from upstream systems into object storage (e.g., S3, ADLS) using formats like Parquet , including partitioning, z-ordering, and schema evolution.
• Integrate with external XVA / risk engines and develop orchestration logic for long-running computations.
• Model and optimize risk metrics such as EPE and PFE for efficient querying and analytics.
• Ensure platform reliability, security, observability, and auditability , including IAM roles, authentication mechanisms, and encryption.
• Contribute to API design for internal and external consumers, including versioning, documentation, error handling, and SLAs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed