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Remote role with popular data engineering title but senior level and specialized Databricks/Spark skills.
Data engineering skills are generally transferable, though FinTech experience is preferred, creating moderate domain sensitivity.
Explicit 8-year requirement plus leadership, cloud data platform, and pipeline expertise increases filtering rigor.
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Design, build, and scale cloud-based data pipelines and platforms supporting critical business insights and operations.
Lead technical direction, ensuring high-quality, reliable data solutions aligned with business outcomes across cross-functional teams.
Mentor and coach data engineering team members while influencing architectural practices and process improvements.
Bachelor’s degree in Computer Science, Information Systems, or closely related field, or equivalent experience.
Minimum 8 years of software engineering experience with recent cloud data platform experience.
Strong programming skills in data engineering languages such as Python, Java, or Scala.
Experience leading teams in data engineering and working knowledge of data modeling, data governance, and scalable batch and streaming pipeline design.
Senior technical leader with experience in designing and scaling cloud-native data platforms and pipelines, including batch and streaming.
Proven ability to influence stakeholders and lead adoption of architectural best practices in a distributed, agile environment.
Experience with Apache Spark, Databricks, and AWS data services, preferably in financial services or FinTech domain.