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Remote role, metro location, and recognizable data brand create moderate applicant competition.
Data-platform skills are transferable across industries but require specific cloud and tooling expertise, so medium sensitivity.
Explicit 11+ years, specific cloud/data stack, and client-facing architecture requirements make shortlisting highly strict.
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Design and implement end-to-end data and AI technical solutions ensuring performance, security, scalability, and data integration.
Lead teams and mentor engineers while delivering client-facing technical presentations and detailed solution documentation (PoCs, roadmaps, diagrams).
Own solution architecture for cloud data platforms including Snowflake, AWS, Azure, Databricks, and GCP with strong programming and SQL expertise.
11+ years of hands-on experience as a Solutions Architect and/or Data Engineer in designing and implementing data solutions.
Bachelor's degree in Computer Science or a related field.
Strong programming skills in Java, Python, and/or Scala; strong SQL skills with debugging and optimization capabilities.
Candidate must be located in Bangalore (remote).
Experienced in enterprise cloud data platforms: Snowflake, AWS, Azure, GCP, Databricks, and associated distributed storage and data integration tools.
Capable of leading technical teams and mentoring, with proven client-facing communication and presentation skills.
Skilled in creating detailed solution documentation across the software development lifecycle and delivering production-ready technical architectures.