Platform Architect

Job Details

• Platform Architect (Contract)
• Location: San Jose, CA 95110 (Hybrid)
• Duration: 12/01/2025 to 2/27/2026 (Eligible for Extension)
• Team: Engineering – IDS Data Platform

About the Role:

• The Platform Architect will lead the design and evolution of Adobe’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.
• 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.

Key Responsibilities:

AI Platform Architecture

• Define and maintain AI-first architecture for data and analytics platforms, integrating LLMs, agent frameworks, and orchestration layers.
• Design agentic workflows for data stewardship, hierarchy management, and firmographic enrichment.
• Architect multi-agent systems for automation, predictive analytics, and decision intelligence.
• Ensure AI components comply with responsible AI principles, security, and governance standards.

Agent Development & Orchestration

• Build custom AI agents for data quality, enrichment, and operational workflows.
• Implement agent orchestration frameworks for scalable execution across distributed environments.
• Integrate AI-driven rules engines for dynamic data governance and override logic.

Platform Engineering

• Develop and optimize platform services for Databricks, Power BI, Tableau, SQL Server, and Collibra.
• Implement infrastructure-as-code for provisioning, scaling, and monitoring AI-enabled platform components.
• Drive observability for AI workloads through APM, logging, and performance dashboards.

Data Engineering

• Design and implement data pipelines for structured and unstructured sources (ERP, CRM, telemetry).
• Apply ETL/ELT best practices for ingestion and transformation at scale.
• Re-engineer foundational data assets into AI-ready architectures (Medallion, Gold Layer).

Innovation & Governance

• Champion AI-driven orchestration for automation and predictive analytics.
• Implement data quality frameworks, metadata management, and master data governance.

Required Skills & Qualifications:

• 8 years in data architecture, platform engineering, and data engineering roles.
• Expertise in cloud-native platforms (Azure, AWS) and distributed systems.
• Strong experience with Databricks, Spark, SQL, Python, and AI/ML frameworks.
• Familiarity with agent orchestration tools and multi-agent architectures.
• Proven ability to design scalable, cost-efficient AI platforms for analytics and automation.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience with LLM-based agents, orchestration frameworks, and AI governance.
• Knowledge of Medallion architecture, EDA frameworks, and agentic design patterns.
• Background in platform observability and performance optimization for AI workloads.

Compensation:

• $84.30 per hour.

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