Senior Data Engineer - AI-Ready Data Platform Leader

Asset Based Lending; Cherry Hill Township (NJ); On-site; USD 140,000 - 200,000; Full time

Job summary

Asset Based Lending, LLC in New Jersey seeks a Senior Data Engineer to own and evolve the enterprise data platform, enabling trusted analytics and regulatory reporting at scale. This role will lead design, implementation, and optimization of the data lake and data warehouse, integrating multiple internal and external source systems while ensuring data quality, governance, and security.

This hands-on individual contributor position requires architectural ownership and collaboration with

Qualifications

• Extensive professional experience owning production-grade data platforms in a cloud environment.
• Proven ability to translate complex business and regulatory requirements into reliable, scalable data solutions.
• Experience operating autonomously as a senior individual contributor with accountability for architecture, quality, and delivery.

Responsibilities

• Own end-to-end design, implementation, and evolution of enterprise data pipelines and core data domains from source ingestion through analytics.
• Architect, develop, and optimize scalable ETL/ELT pipelines integrating multiple internal and external source systems.
• Lead the design of data lake and data warehouse to support analytics and regulatory reporting.
• Define and enforce data modeling, testing, deployment, and documentation standards.

Skills

Python

PySpark

SQL

dbt

Power BI

Snowflake

Databricks

Microsoft Fabric

Fivetran

Airbyte

Collibra

Purview

Data modeling

CI/CD

Education

Bachelor’s degree in computer science, Engineering, or a related quantitative field

Tools

Snowflake

Databricks

Microsoft Fabric

Fivetran

Airbyte

Collibra

Purview

Job description

Asset Based Lending, LLC in New Jersey seeks a Senior Data Engineer to own and evolve the enterprise data platform, enabling trusted analytics and regulatory reporting at scale. This role will lead design, implementation, and optimization of the data lake and data warehouse, integrating multiple internal and external source systems while ensuring data quality, governance, and security.

This hands-on individual contributor position requires architectural ownership and collaboration with