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Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture, design, delivery, and evolution of the Sales & Marketing Data Analytics platform focusing on scalable data warehousing, pipelines, and performance.
Drive engineering best practices including code quality, CI/CD, DevSecOps, and platform reliability; lead complex initiatives from discovery through production support.
Mentor engineers and collaborate with Product Owners, Analysts, and stakeholders to influence technical direction and adopt emerging technologies like AI-assisted engineering.
Minimum Requirements
Significant professional experience with enterprise data warehouse solutions involving Snowflake, DBT, SQL, and dimensional data modeling.
Strong experience with AWS-based data platforms, Python development for data engineering, and building CI/CD pipelines using GitHub and Jenkins or similar tools.
Experience leading technical delivery and mentoring engineers; effective communication with stakeholders to influence technical decisions.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Technically autonomous engineer able to lead and deliver complex data platform projects end-to-end.
Experienced with scalable cloud data environments and modern data engineering best practices in cross-functional teams.
Strong in applying new technologies such as AI-assisted developer tools and specification-driven development to improve platform performance and reliability.