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Remote role, metro location, and broad data platform requirements raise competition.
Highly specialized Databricks and large-scale data platform expertise reduces cross-industry transferability.
Explicit 10+ years plus Databricks, petabyte-scale platform, and cloud stack requirements tighten filters.
Design and oversee scalable, reliable data platforms including pipelines, storage, and processing systems.
Develop and implement data models and governance policies ensuring data quality and security compliance.
Optimize performance and troubleshoot complex data issues in large-scale environments handling petabytes of data with technologies like Databricks Lakehouse.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
10+ years of experience in data engineering or similar roles involving large-scale data platform systems.
Experience with distributed compute, data orchestration, storage, streaming infrastructure, and data platform solutions like Databricks, AWS, GCP, Snowflake.
Legally eligible to work in India; Fluency in English required.
Extensive experience designing data architectures handling petabytes of structured and unstructured data in enterprise SaaS environments.
Proficient with modern AI/data infrastructure, semantics layers, and building data solutions for AI agents.
Strong background in system design, programming (Python, SQL, Java/Scala), and software engineering practices (Kubernetes, CI/CD, Terraform).