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The company is looking to build a unified, intelligent data infrastructure using a data lakehouse architecture to boost developer productivity and establish standardization across the organization. This will enable crucial self-service capabilities for data engineers, build a robust business catalog for strong data and AI governance, and implement systems for data quality and lineage that empower business analysts.

Requirements

• Strong hands-on experience in software development, architecture, deployment, and production operations, preferably with Java / J2EE (Spring/Spring Boot).
• Proficiency in languages like Python is highly desirable.
• Deep expertise in building and operating Big Data platforms and large-scale data lakes.
• Experience with Data Lakehouse formats such as Apache Iceberg, Apache Hudi, or Delta Lake is a significant plus.
• Strong understanding of modern data processing tools and services (e.g., Spark, AWS Glue, dbt, Apache Polaris).
• Extensive experience with cloud architecture and services, including AWS (S3, EMR, Kubernetes, Lambda) and Azure.
• Deep understanding of CI/CD automation, modern development tools, and frameworks.

Responsibilities

• Lead the technical vision, architecture, and strategy for the Data Lake platform.
• Drive the development roadmap to deliver a platform that meets both near-term business needs and long-term strategic goals.
• Design and lead the implementation of our data lake platform and services.
• Challenge the status quo, championing innovative technical solutions that leverage data, AI, and modern engineering practices.
• Serve as a technical mentor to engineers, providing guidance on engineering principles, best practices, and skills.
• Report on the status of development, quality, and system performance to management and partners.
• Advise senior leadership on complex technical initiatives and drive projects to achieve defined OKRs.

Other

• The candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA.
• Partner closely with solutions architecture, product, and engineering teams to deeply understand business needs and design effective solutions.
• Collaborate with information security to ensure data privacy and access controls are a core part of the platform's design.
• Foster a culture of continuous learning, innovation, and accountability for quality results.
• Excellent analytical skills with a proven ability to identify and resolve complex technical problems.
• Strong written and verbal communication skills, with a philosophy of continuous improvement.
• Experience within the payments industry is a plus.