Head of Data Engineering

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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.
• 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.
• Experience with CI/CD tools (Github actions).
• Experience with CDP platforms and handling behavioral data (e.g. Segment, Amplitude, AVO).
• Experience in infrastructure as code technologies (e.g. terraform) and serverless for 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.
• Partner with Data Science divisions to drive data products that solve business problems.
• Engage with stakeholders to define roadmaps according to Bitso’s priorities.
• Recruit and retain top talent.
• Define and drive Bitso’s data strategy in partnership with the SVP of Data Science.