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# Sr Data Architect - Customer & Enterprise Data

- **Company:** EXPLEO LLC
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Salary:** $205,920.0 - $226,720.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Software as a Service, Cloud Computing, Information Systems, Databases, Customer Data Management, Data as a Services, Data Architecture, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Operational Databases, Salesforce.Com, SAP (Applications), Data Streaming, Systems Integration, Enterprise Data Management, Data Storage Technologies, Data Ingestion, HybridCloud, Information Technology, Data Pipelines, Service Stack, Databricks
- **Published:** May 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7abbf0e3af1f98df

## About the Role

Do you have experience in Systems integration?, Do you have a Bachelor's degree?, * 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
 * Proven ability to work effectively 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
 * Utility or regulated-industry experience

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

## Description

Design the Data Foundation Powering Customer 360 and Enterprise AI
Are you passionate about building modern data architectures that drive real business outcomes? Trissential is hiring a Sr Data Architect to join our client's team and play a critical role in Customer Information Systems (CIS) modernization, Customer 360 initiatives, and enterprise-wide data and AI programs.
In this role, you'll sit at the intersection of architecture, governance, and innovation-shaping how customer data flows across the enterprise and enabling analytics, AI, and real-time insights at scale.
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


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