Data Freelance Hub
Platform Architect / Data Architect
Data Freelance Hub, San Francisco, California, United States, 94199
Role Overview
Platform Architect / Data Architect – 6‑12 month contract, on‑site in San Francisco, CA. Pay rate TBD. This role focuses on data architecture, data governance, and cloud‑based data platform modernization. Key Skills
Data architecture and data modeling (conceptual, logical, physical) Cloud platforms (AWS, Azure, GCP) Data governance, security and compliance frameworks Data lakes, data warehouses, and data lakehouse integration Responsibilities
Define and implement enterprise‑wide data architecture standards and best practices. Develop conceptual, logical, and physical data models for complex systems. Drive modernization initiatives, including migration to cloud‑based data platforms. Evaluate and recommend tools, technologies, and frameworks for data management. Architect solutions leveraging cloud platforms (AWS, Azure, GCP), data lakes, and data warehouses. Ensure integration of structured and unstructured data sources. Establish data governance policies, security standards, and compliance frameworks. Implement data quality, lineage, and metadata management processes. Partner with business stakeholders, data engineers, and analytics teams to align architecture with business goals. Mentor junior architects and engineers on best practices and emerging technologies. Evaluate new and emerging technologies and assess their potential use for clients. Qualifications
Experience as a performance architect or equivalent data architecture leadership role. Additional Information
Freelance data hiring powered by an engaged, trusted community—not a CV database.
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Platform Architect / Data Architect – 6‑12 month contract, on‑site in San Francisco, CA. Pay rate TBD. This role focuses on data architecture, data governance, and cloud‑based data platform modernization. Key Skills
Data architecture and data modeling (conceptual, logical, physical) Cloud platforms (AWS, Azure, GCP) Data governance, security and compliance frameworks Data lakes, data warehouses, and data lakehouse integration Responsibilities
Define and implement enterprise‑wide data architecture standards and best practices. Develop conceptual, logical, and physical data models for complex systems. Drive modernization initiatives, including migration to cloud‑based data platforms. Evaluate and recommend tools, technologies, and frameworks for data management. Architect solutions leveraging cloud platforms (AWS, Azure, GCP), data lakes, and data warehouses. Ensure integration of structured and unstructured data sources. Establish data governance policies, security standards, and compliance frameworks. Implement data quality, lineage, and metadata management processes. Partner with business stakeholders, data engineers, and analytics teams to align architecture with business goals. Mentor junior architects and engineers on best practices and emerging technologies. Evaluate new and emerging technologies and assess their potential use for clients. Qualifications
Experience as a performance architect or equivalent data architecture leadership role. Additional Information
Freelance data hiring powered by an engaged, trusted community—not a CV database.
#J-18808-Ljbffr