Data Architect (Credit Risk)

Vaiticka Solution; New York (NY); Hybrid; USD 120,000 - 150,000; Full time

Job summary

A financial technology company seeks a highly skilled Application Engineer and Data Architect to join their Credit Risk Technology Group. In this role, you will design, implement, and maintain critical applications and infrastructure for Credit Risk Capital. The ideal candidate should possess 12-15 years of application development experience and have expertise in Python and Azure Databricks, along with strong domain knowledge in Credit and Counterparty Risk. This hybrid position offers an excellent opportunity for a motivated developer.

Qualifications

• 12-15 years of experience as an application developer.
• Expert-level proficiency in Python including PySpark for data engineering.
• Strong domain expertise in Credit Risk and Counterparty Risk.

Responsibilities

• Lead technical design discussions for Credit Risk applications.
• Design and implement data pipelines using Medallion Lakehouse architecture.
• Build ingestion flows from upstream systems into object storage.

Skills

Application development experience

AWS Certified Cloud Practitioner

REST API development

Domain expertise in Credit Risk

Python and PySpark proficiency

Experience with Azure Databricks

SQL knowledge

CI/CD pipeline knowledge

Agile development experience

Strong communication skills

Tools

Git

Jenkins

Azure DevOps

Job description

Job Location: New York City (Hybrid) (Local Only)

Job Type – Contract

Job Description

We are seeking a highly skilled and experienced application Engineer and Data Architect to join our dynamic Credit Risk Capital IT team within Credit Risk Technology Group. As a Senior resource, you will play a crucial role in designing, implementing, and maintaining the application and infrastructure for Credit Risk Capital.

Job Responsibilities and Requirements

• Lead architecture/technical design discussion considering industry standard technologies and practice, support production operation and resolve production issues as a senior developer in Credit Risk application team
• Design and implement batch and ad-hoc data pipelines with the Medallion Lakehouse architecture using modern cloud data engineering patterns, primarily in Databricks
• Build and maintain ingestion flows from upstream systems into object storage (e.g., S3/ADLS) using formats such as Parquet, including partitioning, z-ordering and schema evolution
• Integrate with external XVA / risk engines, implement orchestration logic to manage long-running external computations
• Model and optimize risk measures (like EPE, PFE) for efficient query and consumption by BI tools, notebooks, and downstream applications
• Ensure platform reliability, observability, security (IAM roles, OIDC/Bearer-token auth, encryption) and auditability.
• Contribute to API design for internal consumers and external services (versioning, error handling, SLAs). Be efficient at documenting.

Required Qualifications, Skills and Capabilities

• Work experience of 12-15 years as an application developer
• AWS Certified Cloud Practitioner (or equivalent certification; level to be confirmed)
• Proficient in REST API development using but not limited to Django / Flask / FastAPI etc.
• Strong domain expertise in Credit Risk and Counterparty Risk
• Expert-level proficiency in Python including PySpark / Spark for data engineering and analytics
• Hands-on experience with Azure Databricks, including Medallion Architecture - Lakehouse
• Solid understanding of SQL, including joins, unions, stored procedures, and query optimization
• Familiarity with front‑end and back‑end development (experience is a plus)
• In-depth knowledge of CI/CD pipelines using Git, Jenkins, and Azure DevOps
• Exposure to technical architecture design (experience is a plus)
• Experience in creating product specifications, architecture diagram and design documents
• Proven experience in Agile software development using JIRA, Confluence, and Zephyr
• Strong communication skills—able to convey complex ideas clearly and concisely
• Highly collaborative team player with a proactive, self‑starter mindset
• Demonstrated ability to learn new technologies quickly
• Passionate about coding, development and continuous improvement