Enterprise Data Architect

Location: Remote (U.S.) | Direct Hire or 6-month CTH About the RoleWe'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 DoStrategy & 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 LeadershipPartner 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 PythonStrong 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 toolsAPI-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