Back
Strong Tier-1 brand, metro location, and generalist engineering manager title increase qualified applicant density.
Role requires financial document-processing and data engineering domain expertise, reducing cross-industry transferability.
Explicit 8+ years, specific data-engineering tech stack, and leadership experience create strict screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and manage a team of 5-8 engineers developing scalable, automated data engineering platforms for high-volume financial and document data processing.
Define technical architecture, design, and execution standards focusing on cloud-native AWS solutions, AI-assisted automation, and efficient data pipelines.
Collaborate with Product, Architecture, and Engineering leadership to translate complex business problems into scalable, production-ready solutions while driving engineering excellence and risk mitigation.
8+ years in software engineering with strong data engineering expertise.
Experience leading engineering teams in a product organization environment.
Proficient with Python, Pandas, NumPy, PyArrow, FastAPI, PostgreSQL, DynamoDB, Redis, Elasticsearch, Amazon S3, Docker, and AWS cloud-native development.
Bachelor's degree in Engineering, Computer Science, or equivalent.
Experienced in building and scaling backend systems handling large financial datasets with focus on automation and performance optimization.
Strong architectural mindset with proven ability to balance technical depth and execution across cross-functional teams.
Comfortable driving engineering culture emphasizing ownership, process improvement, and stakeholder alignment in complex, product-driven environments.