Senior Data Architect – Customer & Enterprise Data

Jobtailor; Colorado; On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor in the United States/Colorado area is seeking an experienced data architect to design and own customer domain data products aligned to a Customer 360 strategy. You will architect end-to-end data ingestion across Salesforce, billing systems, and operational platforms, and define data pipelines into the Databricks Lakehouse on AWS.

The role emphasizes establishing system of record standards, governing data quality and lineage, and collaborating with engineers to move designs into

Qualifications

• 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 deliver high value to the organization

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

Databricks Lakehouse

AWS Data Services

Salesforce CRM

Data Modeling

Data Governance

Data Pipelines

Real-Time Analytics

Tools

Databricks

AWS

Salesforce CRM

Aurora

S3

Job description

• 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

• 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

Core Competencies

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 Architecture


• Databricks Lakehouse


• AWS Data Services


• Data Governance


• Data Modeling

ATS Optimization Keywords

Hard Skills

• Data Architecture


• Data Warehouse Design


• Data Modeling


• Data Movement


• Data Quality


• Data Governance


• Data Pipelines


• Real-Time Analytics


• System of Record Standards


• System of Truth Standards

Soft Skills

• Communication


• Collaboration


• Documentation


• Architectural Leadership

Industry Keywords

• Customer 360 Strategy


• Hybrid Cloud


• On-Premise Environments


• Operational Databases

Tools & Technologies

• Databricks


• AWS


• Salesforce CRM


• Aurora


• S3