Database Architect
8 days ago
Los Angeles
Data Architect, Human Resources Location: Remote Duration: 26 weeks Bill Rate: *** JOB FUNCTION SUMMARY: The Data Architect plays a strategic and technical leadership role in designing, optimizing, and governing the data architecture that supports Human Resources business intelligence and analytics. This position sits in HRIS, and is responsible for developing scalable data models, designing robust integration patterns, improving data quality, and ensuring system-to-system interoperability across the BI ecosystem. The Data Architect partners closely with HR, analytics, and business stakeholders to build a modern, reliable, and well-documented data architecture that supports operational reporting, analytics, and data-driven decision-making. This position will work primarily with Employee based data. GENERIC SCOPE: Lead the design and evolution of the HR data architecture supporting HR Business Intelligence, Data Integrations between HR Systems, and BI tools like Tableau and Power BI. Develop scalable data models (conceptual, logical, physical) aligned with business needs. Oversee data integration frameworks, ETL/ELT pipelines, and interface standards. Evaluate and improve data quality, consistency, master data management, and metadata stewardship. Establish best practices for data governance, documentation, change management, and system optimization. Key Duties and Responsibilities Required Qualifications Technical Expertise 7+ years of experience working with Microsoft SQL Server in an enterprise data warehouse environment, including advanced proficiency with: oT-SQL scripting oStored procedures, functions, and views oQuery optimization and performance tuning oIndexing, partitioning, and execution plan analysis oSQL Server Integration Services (SSIS) or similar ETL tools Demonstrated ability to design, maintain, and optimize data warehouses and BI-oriented data models in SQL Server. Strong proficiency designing conceptual, logical, and physical data models for analytical use cases. Experience architecting and supporting ETL/ELT pipelines feeding SQL Server environments. Deep understanding of data integration patterns (batch, delta, API, and event-driven). Hands-on experience with data governance, master data, metadata management, and data quality frameworks. Experience with BI tools (Tableau, Power BI, or similar) and the underlying data structures they rely on Education Bachelors degree in Computer Science, Information Systems, Data Engineering, or a related technical field; OR equivalent combination of education and extensive professional experience in data architecture, data engineering, or business intelligence. Skills Strong ability to diagnose and resolve complex data issues, pipeline failures, and system bottlenecks. Ability to translate loosely defined business requirements into technical architectural solutions. Demonstrated success planning and executing architectural improvements in a BI environment. Excellent communication skills with the ability to articulate technical concepts to diverse stakeholders. Experience collaborating across IT, business, analytics, and data engineering teams. Ability to produce clear documentation, diagrams, specifications, data dictionaries, and standards.