The Data Architect will provide technical expertise in analysis, design, development, rollout and maintenance of enterprise data models and solutions
Provides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.
Essential Duties
• Understand and translate business needs into data models and data architecture supporting long-term solutions.
• Work with the Application Development team to implement data strategies, build data flows and development of data models.
• Create and maintain conceptual, logical, and physical data models using best practices to ensure high data quality and reduced redundancy, along with corresponding metadata.
• Optimise and update logical and physical data models to support new and existing projects.
• Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
• Organized and rigorous with versioning of documentation and models to ensure consistent delivery and understanding between the client and development team.
• Recommend opportunities for reuse of data models in new environments.
• Perform reverse engineering of physical data models from databases and SQL scripts.
Evaluate data models and physical databases for variances and discrepancies.
Oversee organizational data modelling. Lead highimpact initiatives. Ensure alignment with organizational goals. Provide executive guidance.
Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 8-12 years of experience in data modelling or data analysis.
Base Compensation Range: USD $138,000 – $200,000
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.