Data Architect – SQL Server, Power BI & NetSuite

This is a senior data architecture role focused on designing and evolving a robust enterprise data landscape.
You’ll shape scalable data solutions across SQL Server, Power BI, and NetSuite to support business intelligence and advanced analytics.
The role has a strong emphasis on data integrity, security, performance, and reliable information flows across complex environments.
You’ll work on modern SQL Server capabilities, sophisticated ETL processes, and advanced database programming to improve how data is managed and consumed.
A key part of the position involves establishing strong data quality and deduplication practices to ensure trusted, consistent datasets.
You’ll collaborate closely with stakeholders to translate business requirements into scalable technical solutions aligned with enterprise needs.
This opportunity is well suited to an experienced data professional who combines deep database expertise with strong architectural thinking and a focus on business impact.

• Professional experience: Minimum of 12 years of professional experience in data architecture, database management, or closely related disciplines.
• SQL Server expertise: Deep expertise with SQL Server 2025, including hands-on knowledge of Temporal Tables and Resource Governor capabilities.
• Data security: Strong proficiency in implementing and managing Row-Level Security (RLS) and applying appropriate data access and privacy controls.
• ETL and database programming: Hands-on experience with SSIS for data integration and transformation, combined with strong proficiency in advanced T-SQL development and optimization.
• Data quality and integrity: Demonstrated experience establishing data quality practices, maintaining data integrity, and implementing effective deduplication strategies.
• Business intelligence and ERP knowledge: Familiarity with Power BI and NetSuite ecosystems, particularly in relation to enterprise reporting, analytics, and resource planning.
• Architectural thinking: Ability to design scalable technical solutions and make sound architectural decisions across complex enterprise data environments.
• Stakeholder management: Strong communication and collaboration skills, with the ability to translate business requirements into practical technical solutions.
• Industry awareness: Ability to work effectively within the IT Services sector and deliver data solutions aligned with established technical and industry standards.
• Analytical mindset: Strong problem-solving skills, attention to detail, and a structured approach to improving data performance, quality, and reliability.