A Regulatory Big Data Development Lead is a pivotal senior role at the intersection of data engineering, regulatory compliance, and technology leadership. Professionals in these jobs are responsible for architecting, building, and overseeing the complex data systems that organizations use to meet stringent regulatory reporting obligations, such as those from financial authorities (e.g., BCBS 239, CCAR, MiFID II), healthcare bodies, or other government agencies. This position goes beyond traditional data management, focusing specifically on creating robust, auditable, and scalable big data platforms that ensure data accuracy, lineage, and timely submission for compliance purposes. Typically, individuals in this profession lead a team of data engineers, developers, and analysts. Their core responsibility is to translate complex regulatory requirements into technical specifications and robust data solutions. This involves designing and implementing data pipelines that ingest, process, transform, and store massive volumes of structured and unstructured data from diverse sources. A key aspect of the role is ensuring the entire data flow adheres to governance, security, and quality frameworks. They establish standards for coding, testing, and deployment to guarantee the system's reliability and integrity, which is non-negotiable in a regulatory context. Furthermore, they act as a crucial bridge between technology teams, data governance offices, and business-side compliance officers, ensuring the final output meets both technical and regulatory expectations. Common responsibilities for these jobs include leading the full development lifecycle of regulatory big data applications, identifying necessary system enhancements, and resolving high-impact problems through in-depth evaluation of business processes and system interactions. They are tasked with ensuring the application architecture aligns with the organization's overall technology blueprint and future-state goals. A significant part of the role involves mentoring mid-level developers, managing project timelines, and assessing risks associated with technology decisions that have compliance implications. Typical skills and requirements for a Regulatory Big Data Development Lead include 6-10 years of experience in applications development or systems analysis, with substantial expertise in big data technologies like Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, GCP). Proficiency in programming languages such as Python, Java, or Scala is essential. They must possess deep knowledge of data modeling, ETL/ELT processes, and data governance principles. As a leadership position, it requires proven project management skills, the ability to communicate complex concepts clearly to non-technical stakeholders, and experience in managing successful projects from conception to implementation. A bachelor's degree in computer science or a related field is standard, with a master's degree often preferred. Success in these jobs hinges on being a subject matter expert who can provide innovative solutions to compliance challenges while demonstrating strong leadership and strategic vision.
