ASK Consulting

Platform Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI & Data Platform Architect with a 3-month contract in San Jose, CA (hybrid). Pay is $80-84/hr. Requires 8+ years in data architecture, expertise in cloud platforms, and strong skills in Databricks, SQL, and AI/ML frameworks.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
672
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πŸ—“οΈ - Date
December 2, 2025
πŸ•’ - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
San Jose, CA
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🧠 - Skills detailed
#ML (Machine Learning) #Consulting #Scala #Spark SQL #Leadership #Data Governance #Databricks #Microsoft Power BI #BI (Business Intelligence) #AI (Artificial Intelligence) #Azure #Data Management #Data Engineering #Spark (Apache Spark) #SQL Server #Data Quality #Observability #Python #AWS (Amazon Web Services) #Monitoring #CRM (Customer Relationship Management) #Data Architecture #Data Stewardship #Logging #"ETL (Extract #Transform #Load)" #Tableau #Security #Data Pipeline #Collibra #SQL (Structured Query Language) #Automation #Metadata #Cloud
Role description
"All candidates must be directly contracted by ASK Consulting on their payroll and cannot be subcontracted. We are unable to provide sponsorship at this moment". Job Title: AI & Data Platform Architect Duration: 3 months contract role (Eligible for extension pending performance and budget availability.) Location: San Jose, CA (Hybrid role) - 3 days in office/week. Tues & Thurs required, flexible on the 3rd day. Pay rate: $80-84/hr. On W2 (Without Benefits) Reports To: Director, Data and Analytics Platforms Job Description: The Platform Architect will lead the design and evolution of Client's AI-driven data and analytics platforms, enabling intelligent automation and agent-based workflows at scale. This role combines strategic architecture leadership with hands-on engineering across AI orchestration, data pipelines, and platform infrastructure. The ideal candidate will bridge AI innovation and enterprise-grade engineering, partnering with product managers, engineers, and business stakeholders to deliver next-generation capabilities for analytics, governance, and autonomous agents. Why This Role Matters: This role is pivotal in Client's transformation toward AI-driven platforms and autonomous data ecosystems. By architecting intelligent systems and developing agentic workflows, the Platform Architect will enable scalable automation, predictive insights, and governance across enterprise data landscapes; accelerating innovation and delivering measurable impact on business outcomes. Key Responsibilities: AI Platform Architecture: β€’ Define and maintain AI-first architecture for data and analytics platforms, integrating LLMs, agent frameworks, and orchestration layers. β€’ Design agentic workflows for data stewardship, hierarchy management, and firmographic enrichment. β€’ Architect multi-agent systems for automation, predictive analytics, and decision intelligence. β€’ Ensure AI components comply with responsible AI principles, security, and governance standards. Agent Development & Orchestration: β€’ Build custom AI agents for data quality, enrichment, and operational workflows. β€’ Implement agent orchestration frameworks for scalable execution across distributed environments. β€’ Integrate AI-driven rules engines for dynamic data governance and override logic. Platform Engineering: β€’ Develop and optimize platform services for Databricks, Power BI, Tableau, SQL Server, and Collibra. β€’ Implement infrastructure-as-code for provisioning, scaling, and monitoring AI-enabled platform components. β€’ Drive observability for AI workloads through APM, logging, and performance dashboards. Data Engineering: β€’ Design and implement data pipelines for structured and unstructured sources (ERP, CRM, telemetry). β€’ Apply ETL/ELT best practices for ingestion and transformation at scale. β€’ Re-engineer foundational data assets into AI-ready architectures (Medallion, Gold Layer). Innovation & Governance: β€’ Champion AI-driven orchestration for automation and predictive analytics. β€’ Implement data quality frameworks, metadata management, and master data governance. Required Skills & Experience: β€’ 8+ years in data architecture, platform engineering, and data engineering roles. β€’ Expertise in cloud-native platforms (Azure, AWS) and distributed systems. β€’ Strong experience with Databricks, Spark, SQL, Python, and AI/ML frameworks. β€’ Familiarity with agent orchestration tools and multi-agent architectures. β€’ Proven ability to design scalable, cost-efficient AI platforms for analytics and automation. β€’ Excellent communication and stakeholder management skills. Preferred Qualifications: β€’ Experience with LLM-based agents, orchestration frameworks, and AI governance. β€’ Knowledge of Medallion architecture, EDA frameworks, and agentic design patterns. β€’ Background in platform observability and performance optimization for AI workloads. About ASK: ASK Consulting is an award-winning technology and professional services recruiting firm servicing Fortune 500 organizations nationally. With 5 nationwide offices, two global delivery centers, and employees in 42 states-ASK Consulting connects people with amazing opportunities ASK Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all associates.