Senior Engineering Manager, Data Platform

Sofitechsolutions·WA - Seattle; NY - New York; CA - San Franciscosenior

En corto

→Liderar y escalar el equipo de plataforma de datos en una fintech regulada.
→Definir arquitectura, gobernanza y productos de datos con enfoque en calidad y cumplimiento.
→Destacar por construir una plataforma moderna con herramientas como Snowflake, Airflow y Kafka.

Comfortable operating in a regulated environment (financial services, PCI/SOC2, or similar

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¿Qué piden?

✓8+ años en ingeniería de datos o infraestructura
✓5+ años gestionando equipos de ingeniería o análisis
✓Experiencia end-to-end en plataformas de datos: pipelines, almacenamiento, orquestación
✓Conocimiento de warehousing en la nube (Snowflake, BigQuery, Redshift)
✓Experiencia con IaC y cloud (AWS, Terraform)
✓Capacidad para operar en entornos regulados (PCI, SOC2, fintech)

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

SnowflakeBigQueryRedshiftAWSTerraformAirflowdbtKafkaDMSFlink

¿A quién escribirle en Sofitechsolutions?

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Employee Applicant Privacy Notice Who we are: Welcoming, collaborative and having the opportunity to make an impact - is how our employees describe working here. SoFi Tech Solutions (formerly Galileo Financial Technologies) is a financial technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. SoFi Tech Solutions leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at https://tech.sofi.com/careers/ . The Role We’re looking for a Senior Engineering Manager to lead the Data Team. You’ll own the roadmap for how we collect, model, govern, and serve data - and build the team needed to deliver on it. In the first year, that includes formalizing our Data Products strategy, launching a new analytics platform and modernizing our Data Platform capabilities. This role is ideal for someone who has scaled a data organization before, is comfortable operating in a regulated fintech environment, and wants to shape both technical architecture and set the tone for team culture. What you’ll do: • Own hiring, onboarding, and career development for the Data Platform and Data Analytics teams; build out the team as the org scales. • Set technical direction and engineering standards for data pipelines, warehousing, and analytics tooling. • Manage team roadmap, prioritization, and delivery against business goals. • Own the architecture and reliability of our data platform (ingestion, ETL/ELT, orchestration, storage, and serving layers), build a strong culture of ownership and incident response. • Extend data governance, access control, and PII/PCI-compliant handling practices by leveraging SoFi’s enterprise Data Platform and governance standards • Partner with business stakeholders (Finance, Risk, Product, Operations) to translate reporting and analytics needs into scalable data models and self-serve tooling • Oversee dashboards, metrics layers, and semantic models that the broader org can trust and use independently, championing data quality and a single source of truth What We’re Looking For : • 8+ years in data engineering, infrastructure, or a related field, including 5+ years directly managing engineers or analysts (ideally including managing leads or a team of 6+). • Proven experience owning a data platform end-to-end: pipelines, warehousing, orchestration (Airflow, dbt), and governance. • Strong knowledge of modern cloud data warehousing (Snowflake, BigQuery, or Redshift), cloud infrastructure/IaC (AWS, Terraform), and streaming/ingestion tooling (Kafka, DMS, Flink), plus security/compliance frameworks. • Track record of building or scaling a data team, including hiring and mentoring. • Comfortable operating in a regulated environment (financial services, PCI/SOC2, or similar), with the stake

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