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The Data Architect will lead the design and modernization of the enterprise data ecosystem, owning the architecture roadmap across AWS and Azure. They will establish data governance frameworks and mentor engineering teams to drive data-driven transformation and scalable data product development.

This is a remote position.

Data Architect

Location: Remote (U.S.)

About the Role

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.)

 

This is a 100% remote position.



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