Head of Data Engineering

Your Purpose

The Head of Data Engineering is responsible for leading the development and management of Bitso’s data infrastructure, enabling seamless & governed data access and utilization across business, data science, and regulatory domains. This role collaborates with product squads to design and optimize data models, oversees ETL processes, and enhances the Data Lakehouse with advanced capabilities like data streaming, governance layers and monitoring systems. A critical focus is placed on upholding data governance and quality standards. Moreover, the Head of Data Engineering is expected to partner with the Platform team to integrate DevOps principles to ensure scalable and reliable systems.

This position demands a balance of strong technical expertise and empathetic leadership. The ideal candidate will inspire and mentor a high-performing team while fostering a culture of collaboration, innovation and accountability. The ideal candidate is passionate about leveraging data to drive impactful use cases, maintaining a robust governance framework, and empowering Bitsonauts with reliable, understandable and easy to access data.

Reports To

Senior Vice President of Data Science

Who You Are

• 4+ years of professional experience working with analytics, ETLs and data systems as an individual contributor.
• 3+ years of experience in engineering management at tech companies.
• Expertise in defining and implementing data architectures, including ETL/ELT pipelines, data lakes, data warehouses, and real-time data processing systems.
• Expertise with cloud platforms (AWS preferred), data engineering tools (Databricks, Spark, Kafka), and SQL/NoSQL databases.
• Expertise translating business requirements into technical solutions and data architecture. Ability to influence good data modeling at product squads.
• Expertise with orchestration tools (e.g. AWS step functions, Databricks workflows, or Dagster)
• Proven experience in building data migration services or implementing change data capture (CDC) processes to enable efficient and near real-time data synchronization. Skilled in designing data streaming pipelines to ingest production data into a data lakehouse architecture for analytical and operational use cases.
• Experience with CI/CD tools (Github actions)
• Experience with CDP platforms and handling behavioral data (e.g. Segment, Amplitude, AVO)
• Experience in both infrastructure as code technologies (e.g. terraform) and serverless for different data engineering tasks

Nice to have

• Experience on Machine Learning operations. Specifically on serving capabilities, monitoring systems and feature stores
• Proven successes at Building data governance programs.

What You Will Do

• Lead the Data Engineering team and Data Governance lead on daily tasks with technical expertise and mentoring.
• Prioritize workload, set clear goals and drive accountability to ensure the team delivers exceptional data products in a timely manner
• Mentor and coach all the Data Engineering division; fostering their professional development and an innovation culture
• Partnering with the other Data Science divisions (Business Intelligence, Machine Learning, and Experimentation) to drive data products that solve business problems.
• Partnering with stakeholders (e.g. Platform, Product, Finance, Marketing, Fraud, and others) to define roadmaps according to Bitso’s priorities.
• Recruiting and retaining top talent
• Defining and driving Bitso’s data strategy (data architecture, processes, and governance program) in partnership with the SVP of Data Science.

Research in Diversity, Equity, and Inclusion suggests that individuals may hesitate to apply for jobs if they do not meet all the listed criteria. At Bitso, we value diversity and your unique strengths could be just what we're looking for. If this role excites you but you don't match every point in the description, we still want to hear from you.

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