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Remote senior data engineering manager role with moderate brand and mid-level experience, yielding medium competition.
Core data engineering skills transfer across industries, but managerial and fintech preference raises sensitivity to medium.
Explicit 6+ years engineering and people-leadership plus specialized data platform skills increases shortlisting strictness.
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Lead and manage a team of data engineers delivering scalable, reliable data platforms and pipelines across batch and streaming systems.
Own end-to-end delivery, technical architecture, and alignment of data solutions with business priorities in a cross-functional, Agile environment.
Serve as liaison between business strategy and technical execution, ensuring data capabilities evolve to meet organizational needs.
Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent experience.
6+ years software engineering experience focused on data platforms, batch and streaming pipeline development.
6+ years people leadership experience managing engineering teams.
Strong expertise in data lake/lakehouse architectures, Python, SQL, PySpark, cloud data platforms; experience delivering enterprise-scale data solutions.
Experienced leader capable of managing and developing high-performing data engineering teams in Agile setups with strong delivery and execution rigor.
Strategically minded engineer with strong business acumen able to translate technical work into business outcomes and align priorities accordingly.
Deep domain expertise in modern data platforms (e.g., Databricks, Spark, Kafka), cloud services (AWS preferred), and data governance frameworks, ideally with financial services exposure.