Sr Data Architect – Customer & Enterprise Data

What's in It for You?

Architect at Scale – Design customer-centric data products that power enterprise reporting, analytics, and AI initiatives

Modern Technology Stack – Work with Databricks Lakehouse on AWS, Salesforce, Aurora, and hybrid cloud platforms

Strategic Impact – Define system-of-record and system-of-truth standards used across the enterprise

Ownership & Influence – Set architectural and governance standards that guide engineering teams

Meaningful Collaboration – Partner with solution architects, database engineers, and business stakeholders

Your Role & Responsibilities

• Design and own customer domain data products aligned to a Customer 360 strategy
• Architect end-to-end data ingestion patterns across Salesforce, billing systems, and operational platforms
• Define and design data pipelines into the Databricks Lakehouse running on AWS
• Establish and enforce system of record and system of truth standards to reduce redundancy and improve trust
• Assess and evolve data models within operational databases to support new customer domains
• Balance normalized data storage with performance-optimized access patterns for real-time and analytics use cases
• Ensure data quality, lineage, and governance compliance across all data flows
• Collaborate with database engineers to transition architecture designs into implementation

Skills & Experience

• 7+ years of experience in data architecture or data warehouse design
• Strong expertise in Databricks Lakehouse architecture
• Hands-on experience with AWS data services (Aurora, S3, integrations)
• Experience integrating SaaS platforms, especially Salesforce CRM
• Deep understanding of data modeling, data movement, and access patterns
• Proven ability to define and enforce data governance, lineage, and quality standards
• Experience working across hybrid cloud and on-premise environments
• Strong communication, collaboration, documentation, and architectural leadership skills
• Prowledge in working within dynamic team structures and motivated to collectively deliver high value to the organization

Bonus Points

• If You Have Experience supporting Customer Information Systems (CIS) modernization
• Exposure to enterprise data fabric or mesh architectures
• Familiarity with AI/ML data enablement use case
• Experience building integration with Salesforce and/or SAP

Education & Certifications

• You Need Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience)
• Cloud or Databricks or AI certifications are a plus

What We Offer

• Competitive Compensation – $99–$109 per hour.
• Comprehensive Benefits for you and your dependents – Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
• Paid Time Off – Offers paid time away from work
• Career Growth – Exposure to enterprise-scale modernization and AI initiatives
• Supportive Culture – Collaborative teams that value strong architecture and clean data design