SQL Database Architect (100% REMOTE/NO C2C)

Our client, a Medical Center facility under the aegis of a California Public Ivy university and one of largest health delivery systems in California, seeks an accomplished SQL Database Architect

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NOTE- THIS IS 100% REMOTE ROLE & ONLY W2 CANDIDATES/NO C2C/1099

*** Candidate must be authorized to work in USA without requiring sponsorship ***

Position: SQL Database Architect (Job Id: 3124323)

Location: Los Angeles CA 90024 (100% REMOTE)

Duration: 6 Months + Strong Possibility of Extension

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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

1. Data Architecture & Modeling

• Design, document, and maintain conceptual, logical, and physical data models.
• Develop data structures that support analytics, dashboards, operational reporting, and advanced BI use cases and/or data integrations/interfaces.
• Optimize existing data models to improve performance, scalability, and data integrity.
• Simplify complex data domains into well-defined models aligned to business processes.

1. Data Integration & Pipeline Architecture

• Architect data integration patterns (batch, streaming, API-based, message-driven) to support enterprise BI needs.
• Define standards for ETL/ELT development, data staging, transformation logic, and load performance.
• Oversee system-to-system interoperability and ensure consistent handling of master data and reference data.
• Evaluate existing interfaces and recommend modern integration best practices.

1. Data Quality & Governance

• Implement data quality frameworks, validation rules, and error-handling patterns.
• Partner with data governance teams to define data definitions, lineage, and stewardship models.
• Establish standards for metadata management, naming conventions, versioning, and data documentation.

1. BI Platform Architecture & Optimization

• Support architecture decisions related to data warehouses, data lakes, semantic layers, and reporting repositories.
• Optimize BI performance through indexing, partitioning, caching, and model tuning.
• Collaborate with BI developers to ensure efficient, performant reporting and dashboarding.
• Provide architecture guidance for new BI tools, technologies, and platform enhancements.

1. Solution Design & Technical Leadership

• Lead technical discovery, current-state assessments, and future-state architecture planning.
• Translate business requirements into well-architected data solutions.
• Review and approve data design for new initiatives, enhancements, and integrations.
• Provide guidance, mentorship, and architectural oversight to data engineers and BI developers.

1. Documentation & Knowledge Transfer

• Develop and maintain architecture diagrams, system flows, interface maps, and technical standards.
• Document dependencies, data lineage, and operational workflows for key data assets.
• Provide training and knowledge transfer to data engineering, BI, and analyst teams.
• Support the creation of long-term BI roadmap plans and architectural frameworks.

Required Qualifications

Technical Expertise

• 7+ years of experience working with Microsoft SQL Server in an enterprise data warehouse environment, including advanced proficiency with:
• T-SQL scripting
• Stored procedures, functions, and views
• Query optimization and performance tuning
• Indexing, partitioning, and execution plan analysis
• SQL 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: Bachelor s 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.
• 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.

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Bhupesh Khurana

Lead Technical Recruiter

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Company Overview:

Amerit Consulting is an extremely fast-growing staffing and consulting firm. Amerit Consulting was founded in 2002 to provide consulting, temporary staffing, direct hire, and payrolling services to Fortune 500 companies nationally, as well as small to mid-sized organizations on a local & regional level. Currently, Amerit has over 2,000 employees in 47 states. We develop and implement solutions that help our clients operate more efficiently, deliver greater customer satisfaction, and see a positive impact on their bottom line. We create value by bringing together the right people to achieve results. Our clients and employees say they choose to work with Amerit because of how we work with them - with service that exceeds their expectations and a personal commitment to their success. Our deep expertise in human capital management has fueled our expansion into direct hire placements, temporary staffing, contract placements, and additional staffing and consulting services that propel our clients businesses forward.

Amerit Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Applicants, with criminal histories, are considered in a manner that is consistent with local, state and federal laws