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Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture and technical design of scalable data platforms, pipelines, and warehouse solutions (Snowflake, DBT) for Sales & Marketing Data Analytics.
Own delivery of complex initiatives end-to-end, including production support, performance optimization, and reliability improvements.
Mentor engineers and drive engineering best practices, including code quality, CI/CD, DevSecOps, and adoption of AI-assisted engineering tools.
Minimum Requirements
Professional experience designing and operating enterprise data warehouse solutions with Snowflake, DBT, SQL, and dimensional data modeling.
Strong Python development skills and experience with AWS-based data platforms.
Experience building production-grade CI/CD pipelines using GitHub and Jenkins or equivalent.
Work Experience Required: Significant professional experience; exact years not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced senior engineer proficient in leading technical delivery and mentoring in data analytics or related teams.
Strong communicator capable of influencing technical decisions across product, analytics, and business stakeholders.
Comfortable with ambiguous requirements, large complex datasets, and applying emerging AI-based engineering tools for continuous platform improvement.