Head of Data Engineering

Summary

Join Bitso as the Head of Data Engineering and lead the development and management of its data infrastructure. You will be responsible for designing and optimizing data models, overseeing ETL processes, and enhancing the Data Lakehouse. This role requires strong technical expertise and leadership skills to mentor a high-performing team. You will collaborate with various teams to define data strategies and ensure data governance and quality standards are met. The ideal candidate has extensive experience in data engineering, cloud platforms, and data governance. Bitso offers a remote-first work environment and a comprehensive benefits package.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

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

Benefits

• Me Time program, including unlimited paid time off
• Remote-first work environment
• Employee Stock Option program
• Zero trading fees through our Bitso Alpha app
• Extended Family Leave Policy: all birthing parents, non-birthing parents and adopting parents are eligible for a 4-months leave
• Premium health, dental and life insurances in Mexico, Gibraltar, Colombia, USA, Brazil and Argentina
• Volunteering days
• Monthly stipend for gym memberships, relaxation activities, sports equipment, cooking classes, books, entertainment and more