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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

officeDirect Career PageEst. 18–30 LPA

Posted 1d ago

Against your primary resume

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Role Fit

Experience

Industry Relevance

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Data-driven signals on your job's competitiveness

Competition Intensity

(Moderate)

Medium competition: specialized Snowflake/Databricks skills reduce applicants despite a common senior data engineering title.

Background Fit Sensitivity

(Moderate)

Medium: core data engineering skills transfer broadly, but supply-chain AI context favors similar industry experience.

Shortlisting Strictness

(Moderate)

Medium strictness: specific Snowflake and Databricks expertise required without explicit years, enabling technical screening.

Structured overview of role & requirements

Own end-to-end data pipelines supporting AI delivery initiatives.

Drive architectural decisions related to data engineering platforms Snowflake and Databricks.

Serve as subject-matter expert for Snowflake and Databricks to enable data-driven AI capabilities organization-wide.

Work Experience Required: Not explicitly mentioned in the JD.

Mandatory expertise in Snowflake and Databricks platforms.

Experience in designing and owning data engineering pipelines for AI initiatives.

No notice period or location requirements explicitly mentioned.

Experienced in leading data engineering architecture and implementation in AI contexts.

Strong technical knowledge and hands-on experience with Snowflake and Databricks.

Capable of strategic influence across organization by enabling data-driven AI capabilities through platform expertise.