Senior Staff Data Platform Architect

Summary

Join ServiceNow's Customer Journey Data Platform and Insights team as an experienced Data Platform Architect. This senior-level role demands hands-on expertise in building a unified, intelligent data platform that integrates signals across the entire customer journey. You will design and deliver a scalable, secure, and AI-ready platform to power customer understanding and insights. The position requires extensive experience in data architecture, platform engineering, and enterprise analytics, along with a strong background in enterprise digital technology and the ServiceNow platform. You will collaborate with engineering, product, and analytics teams, providing technical leadership and driving architectural governance. Success in this role hinges on your ability to translate business needs into data solutions and implement cutting-edge technologies.

Requirements

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry
• 15+ years of hands-on experience in data architecture, platform engineering, and enterprise analytics
• Strong background in enterprise digital technology domains and experience working with or building on the ServiceNow platform
• Proven expertise in designing data ingestion, storage (e.g., Delta Lake, BigQuery, Snowflake, Databricks), processing (e.g., Spark, dbt), and orchestration (e.g., Airflow)
• Hands-on experience with data modeling, ETL/ELT, streaming, and batch data pipelines
• Deep knowledge of SQL, data governance, data security, and privacy regulations (GDPR, CCPA)
• Strong understanding of APIs, data contracts, and platform-as-a-product concepts
• Strong understanding of CI/CD pipelines, GitHub, Jenkins, and deployment automation for data platforms
• Familiarity with tools such as Power BI, Looker, or equivalent BI/visualization platforms
• Excellent communication and stakeholder collaboration skills

Responsibilities

• Design and lead the technical architecture for a unified customer journey data platform leveraging modern data and AI technologies
• Define data modeling standards, integration blueprints, and lifecycle management practices
• Architect scalable, distributed data systems including data lakes, data mesh, data fabric, data warehouses, and real-time processing pipelines
• Create reusable architectural patterns that support real-time and batch processing across structured and unstructured datasets
• Partner with engineering, product, and analytics teams to align technical roadmaps with customer insights and business objectives
• Translate business needs and customer signals into data solutions and architectural strategies
• Provide thought leadership in evaluating and implementing cutting-edge tools, frameworks, and best practices
• Drive architectural governance, review processes, and architecture maturity models
• Design and optimize cloud-native solutions using Azure, Snowflake, Databricks, and other modern platforms
• Establish governance frameworks ensuring data quality, privacy, lineage, and compliance across all sources
• Implement robust data security practices, including RBAC, encryption, and access auditing
• Architect platforms to support AI/ML workflows, including feature stores, model inference pipelines, and feedback loops
• Work closely with data scientists and ML engineers to embed intelligence across customer journeys
• Enable data democratization and advanced insights through curated datasets, semantic layers, and analytical products
• Integrate deeply with ServiceNow platform data models, APIs, and event based systems
• Architect solutions that enhance customer understanding within IT/DT software domains and workflows powered by ServiceNow
• Ensure platform extensibility and API-driven architecture supports self-service analytics, operational workflows, and personalization