Staff Engineer, Socure

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or years experience equivalent
• 10+ years of professional experience in data engineering, including 4+ years in a lead role
• Proven ability to lead and grow high-performing technical teams
• Expertise in building large-scale data solutions in modern cloud platforms (AWS, GCP, or Azure)
• Proficiency in programming languages such as Python, SQL, and one or more of Java, Scala, or Go
• Strong experience with data lakes, data warehouses, and streaming frameworks (e.g., Apache Spark, Kafka, Flink)
• Hands-on experience with graph databases and algorithms (e.g., Neo4j, Amazon Neptune, or OrientDB)
• Strong understanding of software architecture, design patterns, and data structures
• Experience with containerization technologies (Docker, Kubernetes) and microservices architecture
• Well versed in developing highly available, scalable low latency online systems
• Familiarity with DevOps practices and CI/CD pipelines

Desirable

• Data lies at the heart of everything we do at Socure, and establishing meaningful relationships between data elements is key to the performance of our products
• We are seeking an experienced and highly motivated Staff Engineer - Tech Lead to lead the design and development of our new Identity Graph project, a greenfield initiative that will form the foundation of all our products
• In this role, you will lead a team of talented data and backend engineers while playing a key role in advancing Socure’s identity infrastructure to power the next generation of identity fraud products
• Your work will directly impact the scalability, reliability, and performance of solutions critical to Socure’s success.This project has the highest visibility and backing including the CEO, CTO and CPO
• Lead the architectural design and implementation of scalable, reliable, and secure data platform solutions
• Provide mentorship and guidance to engineers through design reviews, code reviews, and coaching
• Establish and enforce best practices in data engineering, including coding, testing, and deployment
• Define, design, and develop data products for the company
• Design and implement solutions using modern data lakes, warehouses, and graph databases to model complex data relationships
• Write and review high-quality code to ensure system performance, maintainability, and scalability
• Implement robust testing frameworks and CI/CD pipelines to support continuous delivery of data products
• Own the end-to-end development of complex data ETL pipelines for batch and real-time processing, supporting both model training and inference. Ensure data quality and consistency across all pipelines
• Oversee the development of low latency, scalable, and performant APIs to query the graph and generate ML features
• Collaborate with cross-functional teams (Product, Engineering, Data Science, Infrastructure) to align data engineering efforts with business objectives
• Partner with legal and security teams to ensure compliance with PII handling, security, and regulatory requirements
• Effectively communicate complex technical concepts to both technical and non-technical stakeholders
• Stay current with emerging technologies and trends in big data, graph databases, and cloud computing
• Propose and implement new technologies and methodologies to enhance data platform performance and cost-efficiency
• Contribute to open-source projects and represent Socure in technical communities

• End Date: July 7, 2025