As the Head of Data Engineering, you will be responsible for designing, implementing, and maintaining a robust, scalable, and compliant data architecture that supports our exchange’s operations, analytics, and regulatory reporting requirements. You will lead a team of data engineers, ensuring high availability, security, and performance of our data infrastructure. This position involves close collaboration with stakeholders across technology, compliance, risk, and product teams to develop data pipelines, warehouses, and real-time analytics capabilities.
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This is a strategic yet hands-on role where you will drive data engineering best practices, scalability, and automation while ensuring compliance with regulatory data requirements for a financial services entity.
Key Responsibilities:
- Data Architecture & Strategy: Define and own the data architecture strategy for the exchange, ensuring it is scalable, secure, and regulatory-compliant. Design and implement data modeling, governance, and security frameworks.
- Data Engineering & Infrastructure: Build and maintain ETL/ELT data pipelines for operational and analytical data. Ensure high data quality, reliability, and availability through robust monitoring and data validation techniques.
- Compliance, Security & Risk Management: Collaborate with compliance and risk teams to ensure data retention policies and audit trails meet regulatory requirements. Implement encryption and access control policies to safeguard sensitive data.
- Leadership & Team Management: Lead, mentor, and grow a small team of data engineers, fostering a culture of collaboration and accountability. Drive best practices in data engineering and collaborate with various teams to integrate data solutions.
Technical Competencies and Skills:
- Proven experience in data architecture and engineering, preferably in a regulated financial or crypto environment.
- Strong proficiency in SQL, Python, or Scala.
- Experience with cloud-based data platforms (AWS, GCP, or Azure) and orchestration tools (e.g., Airflow).
- Hands-on experience with real-time data processing (e.g., Kafka).
- Familiarity with blockchain/crypto data structures and APIs is a plus.
Preferred Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- Certifications in cloud data engineering or data governance/security are a plus.
- Experience working in a crypto exchange or trading environment is advantageous.
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