Senior Data Architect - AWS/Azure

American Workforce Solutions; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

American Workforce Solutions seeks a Data Architect to lead the design and modernization of a client’s data ecosystem across AWS and Azure. You will own the data architecture roadmap, drive Data & AI transformation, and build a scalable, governed foundation for analytics and data products.

Responsibilities include governance, architecture decisions, and mentoring engineers while partnering with IT and business teams on a unified data strategy. Strong leadership and communication are essential.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (equivalent experience considered).
• 10+ years of enterprise data solution architecture experience.
• Deep experience with Microsoft Fabric and OneLake / Lakehouse and Medallion architecture.
• 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
• Working knowledge of enterprise AI/ML adoption — MLOps, model governance, and scaling AI solutions
• 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

Responsibilities

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

Skills

Enterprise data architecture

TOGAF

SQL

Python

Cloud data platforms

Data governance

Leadership

Communication

MLOps

HIPAA/GDPR knowledge

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Azure

Microsoft Fabric

OneLake

Lakehouse

DynamoDB

S3

Redshift

ETL/ELT tooling

Kinesis

Job description

We're looking for a Data Architect to lead the design and modernization of our client’s enterprise data ecosystem. You'll own the data architecture roadmap across AWS and Azure, drive our customers Data & AI 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. We are a Direct Hire Staffing organization.

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 and AI 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, or related field (equivalent experience considered)
• 10+ years of enterprise data solution architecture experience
• Deep experience with Microsoft Fabric and OneLake / Lakehouse and Medallion architecture.
• 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
• Working knowledge of enterprise AI/ML adoption — MLOps, model governance, and scaling AI solutions
• 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 (TOGAF, Zachman, etc.)