Back
Remote senior data role with Databricks/Spark requirements yields moderate applicant density.
Core data engineering skills are transferable, though FinTech experience is preferred.
Explicit 8+ years, Staff-level, and specific cloud/Databricks technical requirements increase screening strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and scale cloud-based data pipelines and platforms supporting critical business insights and operations.
Lead technical direction, architectural decisions, and engineering best practices within a globally distributed data engineering team.
Mentor engineers, influence stakeholders, and ensure data solutions align with business outcomes while improving data governance and quality.
Bachelor’s degree in Computer Science, Information Systems, or related field or equivalent experience.
Minimum 8 years of software engineering experience with recent hands-on in cloud data platforms.
Strong expertise in data engineering languages (Python, Java, Scala), SDLC (Agile/SCRUM, Waterfall), data modeling, streaming and batch pipeline design.
Experience leading a team of data engineers and designing mission-critical enterprise data applications; role based in India and requires remote work with overlap to U.S. hours.
Senior technical leader with proven experience guiding data platform architecture and leading engineering teams in cloud environments.
Deep familiarity with modern data technologies, including Apache Spark, Databricks, Delta Lake, and AWS data services.
Strong operational mindset combining strategic influence and technical ownership to deliver scalable, reliable data solutions aligned with business goals.