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Job Description
Structured overview of role & requirementsAbout This Role
Lead design and delivery of analytics engineering capabilities including transformation layers, semantic models, and Gold layer data products.
Own technical standards and best practices for BI and self-serve analytics at the company.
Mentor and guide teams on data analytics engineering and pipeline quality frameworks.
Minimum Requirements
10+ years of experience in analytics engineering, data engineering, or BI engineering.
Expert-level proficiency with DBT for modelling, testing, documentation, and deployment at scale.
Strong experience with Redshift including Gold/consumption layer design and optimization.
Proficient with SQL, dimensional modelling, and BI tools such as Tableau, Power BI, or Looker.
Ideal Candidate Profile
Senior-level analytics engineer with deep expertise in BI product data layers and pipeline architecture.
Experienced in setting technical standards and mentoring engineering teams in analytics environments.
Familiar with data quality frameworks and regulatory requirements like PCI DSS in analytics contexts.