6 дней назад
Senior Manager, Data Engineering (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Data Engineering (Fintech): Leading the data engineering team and evolving scalable data platforms and pipelines for reporting, analytics, operational decision-making, and future AI capabilities with an accent on Snowflake, dbt, PostgreSQL, AWS, and Medallion architecture. Focus on designing reliable and cost-effective systems, establishing data quality and observability standards, and solving complex architecture, scalability, and platform modernization challenges.
Location: Remote from any location; convenient office in downtown Chicago.
Company
develops digital banking, lending, underwriting, fraud detection, and analytics products through its CreditNinja, NinjaCard, and Edge brands.
What you will do
- Lead the Data Engineering team and define the technical direction for the company-wide data platform.
- Own the architecture, reliability, performance, and evolution of Snowflake, PostgreSQL, and data pipelines.
- Lead the transition to a Medallion architecture and establish standards for ingestion, transformation, modeling, testing, documentation, and data consumption.
- Evolve the modern data stack, including Snowflake, dbt, Fivetran, Meltano, PostgreSQL, and AWS.
- Partner with Engineering, Analytics, Product, Finance, Risk, Marketing, and other teams to build reusable data solutions.
- Build the long-term platform roadmap, improve self-service data access, and support future analytics and AI use cases.
Requirements
- 6+ years of experience in Data Engineering, Data Platform Engineering, Database Engineering, or a related field.
- 2+ years of experience leading or managing Data Engineers or other technical teams.
- Strong experience with Snowflake, dbt, SQL, and modern ELT or ETL architectures.
- Strong knowledge of PostgreSQL or similar relational databases, including schema design, indexing, query performance, and reliability.
- Experience with data ingestion and integration tools such as Fivetran, Meltano, or similar technologies.
- Strong understanding of dimensional modeling, Medallion architecture, data quality, testing, observability, lineage, governance, security, and cloud data platform operations.
Nice to have
- Experience with Python or Ruby for automation, tooling, or data processing.
- Experience in financial services or another regulated industry.
- Experience supporting analytics or AI applications.
- Experience with data catalogs, data contracts, master data management, or major data platform modernization initiatives.
- Experience using AI and automation to improve engineering productivity, monitoring, documentation, or data quality.
Culture & Benefits
- Remote-first culture with flexible paid time off.
- Medical, dental, and vision insurance plans.
- 401(k) with matching contribution.
- Paid family leave and annual wellness and work-from-home subsidies.
- Distributed global workforce with a convenient downtown Chicago office.
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