Senior Data & AI Architect – Enterprise Platforms & AI

Staples, Inc.; Framingham (MA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

PTO and holidays

Employee discounts

401(k) matching

Health & wellness programs

Job summary

Staples, Inc. is seeking a senior Data & AI Architect to lead enterprise data and AI architecture across marketing, engagement, and sales domains, with a focus on scalable lakehouse data platforms and AI-enabled experiences.

The role emphasizes governance, security, and responsible AI while collaborating with cross‑functional teams to deliver reusable data products and actionable insights at scale.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or related field.
• 10+ years designing enterprise data platforms, data products, or high-volume data solutions.
• Deep experience with cloud data platforms (Databricks, Snowflake, BigQuery) and lakehouse architectures.
• Experience designing data architectures for analytics, ML, AI, and intelligent apps.
• Experience in marketing, customer, digital commerce, sales, or similar customer-facing data domains.
• Experience designing batch, streaming, API, and event-driven architectures.
• Knowledge of relational, dimensional, event, document, and semantic data modeling.
• Familiarity with conversational analytics, AI agents, RAG, vector search, and enterprise AI grounding.
• Operationalizing ML/AI capabilities (recommendations, propensity, lead scoring, next-best action, GenAI).
• Experience with data governance, metadata, lineage, observability, privacy, security, access controls.
• Fluent in SQL; working knowledge of Python/Java/Scala.

Responsibilities

• Own current to target data and AI architecture across marketing, engagement, digital, sales, and analytics use cases.
• Architect data platforms and reusable data products using Databricks, Snowflake, cloud services, APIs, and streaming.
• Establish governed data contexts enabling analytics, AI models, and AI agents to access trusted data.
• Enable intelligent experiences like conversational analytics, AI agents, recommendations, and next-best actions.
• Design reusable data products for analytics, AI, personalization, activation, and measurement.
• Define scalable patterns across batch, real-time, streaming, API, and semi/unstructured data.
• Set standards for semantic models, data contracts, metadata, lineage, observability, privacy, and security.
• Partner with Data Engineering/Science to operationalize ML/AI via data products, APIs, and services.
• Translate business opportunities into architecture decisions, roadmaps, and tech recommendations.
• Lead architecture reviews and document decisions, risks, and trade-offs.

Skills

Enterprise architecture

Technical leadership

Communication

Roadmap planning

Mentoring

Business-technical collaboration

Education

Bachelor's in CS/Engineering/Info Systems

Master's degree (preferred)

Tools

Databricks

Snowflake

BigQuery

Delta Lake

Job description

Staples, Inc. is seeking a senior Data & AI Architect to lead enterprise data and AI architecture across marketing, engagement, and sales domains, with a focus on scalable lakehouse data platforms and AI-enabled experiences.

The role emphasizes governance, security, and responsible AI while collaborating with cross‑functional teams to deliver reusable data products and actionable insights at scale.