Enterprise Data Architect

American Workforce Solutions; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

American Workforce Solutions is seeking a Senior AWS Enterprise Data Architect to lead the design and modernization of a client’s data ecosystem. You will own the data architecture roadmap across AWS, NoSQL, and time-series DBs, driving data transformation and building a scalable foundation for advanced analytics.

You will partner with IT and business leaders, mentor engineers, and champion a data-driven culture while enforcing governance, regulatory compliance, and data privacy across

Qualifications

• 10+ years of enterprise data solution architecture experience.
• Deep expertise across AWS data services and cloud-native Lakehouse platforms.
• Experience with TOGAF or equivalent architecture frameworks.
• Advanced SQL and Python skills for data manipulation and automation.
• Strong knowledge of data modeling, governance, cataloging, and lineage.
• Experience with ETL/ELT, data integration, and modern orchestration tools.
• Excellent communication and ability to translate complex concepts for executives.

Responsibilities

• Own the enterprise data architecture roadmap aligned to business and regulatory needs.
• Design scalable data solutions and canonical data models for cross-domain reuse.
• Architect data integration across AWS sources and enterprise systems (Salesforce, NetSuite, etc.).
• Apply data mesh and domain-oriented patterns to enable team autonomy at scale.
• Lead data governance, metadata, lineage, and regulatory compliance programs.
• Mentor data engineers and architects; champion a data-driven culture.

Skills

Data architecture

AWS services

TOGAF

SQL

Python

Data governance

Data modeling

Data integration

Leadership

Regulatory compliance

Education

Bachelor's degree

Tools

S3

Redshift

DynamoDB

Glue

Lake Formation

EMR

Kinesis

Airflow

Couchbase

MySQL

Salesforce

NetSuite

Job description

Location: Remote (U.S.) | Direct Hire or 6-month CTH

About the Role

We're looking for a n AWS Enterprise Data Architect to lead the design and modernization of our client’s enterprise data ecosystem. You'll own the data architecture roadmap across AWS, No SQL, and Time Series DB, drive our customers Data transformation, and build the governed, scalable foundation that powers advanced analytics and data products across their business. This is a fulltime, Direct Hire, position at our client.

What You'll Do

Strategy & Architecture

• Own the enterprise data architecture roadmap, aligned to business and regulatory needs
• Design scalable, modular data solutions and canonical data models that promote reuse across domains
• Architect data integration across AWS source systems (Couchbase, MySQL, DynamoDB, InfluxDB), Salesforce, NetSuite, and Azure Fabric as the central Lakehouse
• Apply data mesh and domain-oriented patterns to enable team autonomy at scale
• Bring data product thinking to pipelines and analytics platforms — clear owners, SLAs, and user experience
• Document architecture decisions, system diagrams, data flows, and technology stacks (ADRs)
• Evaluate emerging technologies (AI/ML, data virtualization, knowledge graphs) and lead proof-of-concepts
• Enable a 360° customer view by integrating Salesforce CRM, NetSuite ERP, and other enterprise platforms

Governance & Compliance

• Establish and enforce data governance, quality, metadata, and lineage frameworks
• Ensure data solutions meet FCC, HIPAA, PCI, and other regulatory requirements

Leadership

• Partner with IT, business leaders, and product owners on a unified, multi-company data strategy
• Mentor data engineers and architects on best practices and emerging technologies
• Champion a data-driven culture across the organization

What You'll Bring

• Bachelor's degree in Computer Science, Information Systems, Engineering
• 10+ years of enterprise data solution architecture experience
• Deep expertise across AWS data services: S3, RDS, DynamoDB, Redshift, Glue, Lake Formation, EMR, Kinesis, Step Functions, and the AWS Well-Architected Framework
• Expert-level knowledge of architecture frameworks (TOGAF or equivalent) and proven experience designing cloud-native Lakehouse/data platform modernizations
• Advanced SQL and Python
• Strong background in relational and NoSQL databases, data warehousing, and streaming platforms (Kafka)
• Hands-on experience with ETL/ELT, data cataloging, metadata management, lineage, and modern orchestration tools
• API-first architecture experience for data integration and data product consumption
• Familiarity with data privacy and compliance frameworks (HIPAA, GDPR, FCC)
• Excellent communication skills, with the ability to translate technical concepts for executive and technical audiences alike

Nice to Have

• Experience with Salesforce, NetSuite, or enterprise application integration
• Experience building Customer 360 platforms
• Background in telecom, healthcare, or other regulated industries
• AWS, Azure, or enterprise architecture certifications