Lead data engineering delivery to build reliable, scalable pipeline leveraging Snowflake, Sigma and other applications to support complex data analytics and self-service reporting.
Drive integration with popular tools and services in the broader data warehousing ecosystem.
Optimize architectural performance across the Data stack by refining execution parameters and enforcing best practice strategies to maximize resource efficiency and throughput.
Establish and evolve a data governance operating model across data quality, lineage, metadata management, stewardship, cataloging, and lifecycle management.
Perform advanced code-level analysis and resource profiling to identify and mitigate systemic root causes, ensuring the stability and reliability of high-scale production workloads.
Coordinate with internal stakeholders to ensure effective communication, issue resolution, and on-time delivery of projects.
Participate in weekend and weekday on call rotation.

8+ years of experience in designing, building, testing, and maintaining data pipelines and data platforms. 5 years of hands-on experience as a technical lead on a Data Engineering team, serving as the go-to person to resolve critical issues.
Expertise in SQL databases or data warehouses (such as Oracle, SQL Server, MySQL, Postgres and AWS RDS) and ETL technologies (such as Rivery, Informatica, DataStage, Talend, Fivetran).
Strong knowledge of data architecture, distributed processing, data modeling, and platform reliability engineering.
Hands-on experience with modern data warehouse and cloud data platform architectures including AWS and Snowflake.
Experience establishing and operating enterprise data governance capabilities, including data quality, lineage, metadata, and stewardship practices.
Demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks is a plus.
Working experience in financial services, especially auto finance and lending is preferred.
Proven ability to influence cross-functionally, such as with internal stakeholders or engineering teams.
Expert level knowledge in python is desired.
Self-motivated and proactive, with a strong ability to identify issues and challenge the status quo.
Degree in Computer Science or related field/experience.

Great Perks – We offer generous salaries, social activities, monthly lunches, and a robust employee recognition and talent development program to enhance your career with us.
Culture
We are believers in maintaining a healthy work-life balance. While we work hard and care deeply about our customers and partners, we want you to have room for your family, friends, and yourself.
Growth
Company growth provides unprecedented career growth. FHF’s extraordinary year over year growth in revenue and new markets provides opportunity for you to establish and develop your career growth. We engage each employee to build a career plan that benefits everyone, and we have a proven record of investing in you.

Senior Data Engineer

Key skills