Senior Data Architect – Customer & Enterprise Data

Trissential

Sr Data Architect designing data products aligned to Customer 360 strategy at Trissential. Involved in modernizing Customer Information Systems and enabling AI programs with data architecture.

Posted 7/29/2026contractDenver • Colorado, Minnesota • 🇺🇸 United StatesSenior💰 $99 - $109 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Architecture and Data Warehouse Design, with a strong focus on Databricks Lakehouse and AWS data services. Capable of ensuring data quality, governance, and compliance while collaborating effectively within dynamic team environments.

Highest-signal resume keywords

Data ArchitectureDatabricks LakehouseAWS Data ServicesData GovernanceData Modeling

ATS Keywords

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Hard Skills

Data ArchitectureData Warehouse DesignData ModelingData MovementData QualityData GovernanceData PipelinesReal-Time AnalyticsSystem of Record StandardsSystem of Truth Standards

Soft Skills

CommunicationCollaborationDocumentationArchitectural Leadership

Tools & Technologies

DatabricksAWSSalesforce CRMAuroraS3

Industry Keywords

Customer 360 StrategyHybrid CloudOn-Premise EnvironmentsOperational Databases

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
Offers paid time away from work
Exposure to enterprise-scale modernization and AI initiatives
Collaborative teams that value strong architecture and clean data design