Fintech Data Platform Lead - End-to-End Ownership

Findjobit; United States; Remoto; USD 150.000 - 210.000; Tempo pieno

Descrizione del lavoro

Findjobit is seeking a Lead Data Engineer to own a fintech data platform end-to-end. You will optimize customer data stores, build modern pipelines from SQL Server to BigQuery, and lay the architecture powering underwriting, collections, and AI workflows. Real ownership from day one.

You will partner with underwriting, collections and product, mentor engineers, and shape the long-term cloud strategy while ensuring governance, quality, and cost efficiency across the stack.

Competenze

• 5+ years designing and operating production data pipelines at scale.
• Experience with medallion architecture, data cataloging, and lineage.
• Strong SQL and Python with BigQuery optimization.
• B2 English level or higher and Spanish fluency required.

Mansioni

• Own the end-to-end data platform architecture, pipelines, quality, and governance.
• Translate business needs into scalable data designs.
• Remediate and optimize existing data assets for quality and reliability.
• Design and operate pipelines between SQL Server, BigQuery, and third-party integrations.
• Define target data architecture with medallion modeling, lineage, and cataloging.
• Establish governance on cost, access, and auditability across platforms.
• Collaborate with underwriting, collections and product to align data capabilities.
• Mentor engineers and lead small teams; hands-on implementation.

Conoscenze

Python

SQL

Data pipelines

Cloud platforms

Mentoring

Strumenti

BigQuery

Azure Data Factory

ADLS

Descrizione del lavoro

Findjobit is seeking a Lead Data Engineer to own a fintech data platform end-to-end. You will optimize customer data stores, build modern pipelines from SQL Server to BigQuery, and lay the architecture powering underwriting, collections, and AI workflows. Real ownership from day one.

You will partner with underwriting, collections and product, mentor engineers, and shape the long-term cloud strategy while ensuring governance, quality, and cost efficiency across the stack.