Description

You will design and optimize data architectures to support large-scale analytical use cases and data strategy.

This role is on-site.

Responsibilities

• Review existing domain data mart models and architecture to ensure optimization for key analytical use cases.
• Design and develop remediated models while working with engineering stakeholders to build backlogs for standardization.
• Optimize storage and consumption designs to balance storage and compute costs effectively.
• Establish modelling guardrails and standards for data table structures, partitioning in S3, and data lifecycle management.
• Define processes for business logic development, data access, and quality assurance across the data environment.

Required Skills

• 5+ years of experience in data modelling, from conceptual to physical design.
• Expertise in 3NF, Dimensional, and Data Vault modelling methodologies.
• Proven experience building cloud data warehouses using Kimball methodologies, specifically with AWS Redshift.
• Proficiency in data design patterns across AWS S3, RDBMS, and columnar databases.
• Experience delivering modelling designs within large-scale data environments.
• Ability to manage stakeholders ranging from senior business leaders to analysts.
• Knowledge of data governance, ethics, and monitoring across large platforms.
• Experience with MI/BI use cases, data exploration, and analysis.

Preferred Skills

• Experience with predictive modelling or Data Science.
• Experience using Tableau for building queries and MI outcomes.

Key Skills

Education

Any Graduate