Database Architect, reputed company || reputed company/HOSPITAL EXPERIENCE REQUIRED || 100% REMOTE JOB

Data Architect, reputed company Location: 100 % Remote Duration: 26 weeks JOB FUNCTION SUMMARY: The Data Architect plays a strategic and technical leadership role in designing, optimizing, and governing the data architecture that supports reputed company 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:

• reputed company the design and reputed company of the HR data architecture supporting HR Business Intelligence, Data Integrations between HR Systems, and BI tools like Tableau and Power BI.
• reputed company scalable data models (conceptual, logical, physical) reputed company with business needs.
• reputed company data integration frameworks, ETL/ELT pipelines, and reputed company 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.
• reputed company 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 reputed company.
• Simplify reputed company data domains into well-defined models reputed company to business processes.

2. Data Integration & Pipeline Architecture

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

3. Data Quality & Governance

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

4. BI Platform Architecture & Optimization

• Support architecture reputed company reputed company 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.
• reputed company architecture guidance for new BI tools, technologies, and platform enhancements.

5. Solution Design & Technical Leadership

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

6. Documentation & Knowledge Transfer

• reputed company and maintain architecture diagrams, system flows, reputed company maps, and technical standards.
• Document dependencies, data reputed company, and operational workflows for key data assets.
• reputed company 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 reputed company SQL Server in an reputed company data warehouse environment, including advanced proficiency with:

o T-SQL scripting o Stored procedures, functions, and views o Query optimization and performance tuning o Indexing, partitioning, and execution plan analysis o 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, reputed company, 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 reputed company 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 reputed company data issues, pipeline failures, and system bottlenecks.
• Ability to translate loosely defined business requirements into technical architectural solutions.
• Demonstrated reputed company planning and executing architectural improvements in a BI environment.
• Excellent communication skills with the ability to reputed company 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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