Senior Data Engineer: Credit Risk Data Architect

Synechron; New York (NY); On-site; USD 140,000 - 155,000; Full time

Benefits offered by this job

Competitive compensation

Global work opportunities

Generous leave

Comprehensive benefits

Training & development

Job summary

Synechron seeks a Senior Data Engineer to design, build, and maintain scalable data solutions for financial regulatory domains. You will lead end-to-end data architectures, integrate diverse data sources, and ensure data quality with Python, PySpark, SQL, Snowflake and Databricks.

The role collaborates with global teams and delivers robust data pipelines in production. Ideal candidates demonstrate strong data modeling, governance, and communication skills, with experience in capital markets and

Qualifications

• Experience designing end-to-end data architectures in financial and regulatory domains.
• Proven ability to lead data integration, quality, and governance initiatives.
• Hands-on development using Python, PySpark, SQL with Snowflake and Databricks.

Responsibilities

• Collaborate with stakeholders to translate requirements into scalable data solutions.
• Design and optimize data models and schemas for integration and analysis.
• Lead development on Python, PySpark, SQL, Snowflake and Databricks platforms.
• Implement data validation procedures and maintain data quality in production.
• Oversee testing cycles (UT, SIT, UAT) with business and QA teams.
• Provide ongoing support and contribute to scalable data architectures.

Skills

Python

SQL

Data modeling

Communication

Tools

Snowflake

Azure Databricks

PySpark

Databricks

Autosys

Control-M

SQL Server

Job description

Synechron seeks a Senior Data Engineer to design, build, and maintain scalable data solutions for financial regulatory domains. You will lead end-to-end data architectures, integrate diverse data sources, and ensure data quality with Python, PySpark, SQL, Snowflake and Databricks.

The role collaborates with global teams and delivers robust data pipelines in production. Ideal candidates demonstrate strong data modeling, governance, and communication skills, with experience in capital markets and