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Remote, popular mid-level data manager role with broad skillset and metro applicant pool increases competition.
Data engineering leadership skills are transferable across industries, though FinTech preference moderately increases specificity.
Explicit 6+ years technical and leadership requirements plus domain experience mandate stricter candidate filtering.
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Lead and develop a team of data engineers to design, build, and deliver scalable data platforms and pipelines across batch and streaming architectures.
Own end-to-end delivery quality, scalability, and reliability of data infrastructure aligned with business priorities and strategy.
Bridge business strategy and technical execution by driving alignment, architectural oversight, and continuous improvement in engineering practices.
Bachelor's degree in Computer Science, Information Systems, or equivalent experience.
6+ years of software engineering experience focused on data platforms and systems.
6+ years of people leadership managing engineering teams.
Strong expertise in data lake and lakehouse architectures, data engineering (batch and streaming), programming (Python, SQL, PySpark), and cloud data platforms.
Experienced leader with proven ability to manage and scale engineering teams delivering complex, large-scale data solutions in Agile environments.
Technical strategist capable of aligning engineering efforts with business outcomes and driving adoption of modern data technologies.
Skilled communicator adept at stakeholder management, mentoring engineers, and fostering a culture of ownership and continuous improvement.