> Markdown version of [/jobs/ext/516349-data-architect-remote](https://www.wearedevelopers.com/jobs/ext/516349-data-architect-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - Remote - **Company:** Togetherwork Holdings, LLC - **Location:** Atlanta, GA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Application Integration Architecture, Microsoft Azure, Software as a Service, Customer Data Management, Data as a Services, Data Architecture, Data Cleansing, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Migration, Data Structures, Document-Oriented Databases, Electronic Data Interchange (EDI), Microsoft Dynamics, Microsoft SQL Server, SQL Azure, Pentaho Data Integration, SQL Server Integration Services, Data Streaming, Systems Integration, Azure Data Factory, Physical Data Models - **Published:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=80a09d818765d51e ## About the Role Do you have experience in Systems integration?, Do you have a Bachelor's degree?, * 5+ years of experience in Data Architecture, Data Engineering, or related roles. * Strong experience with Microsoft Dynamics 365 and CRM data structures. * Hands-on expertise with SQL Server and advanced SQL querying. * Proven experience with SSIS and enterprise ETL development. * Experience with KingswaySoft and/or Pentaho Data Integration. * Strong background in data modeling and multi-system integration architecture. * Ability to evaluate architectural tradeoffs in complex environments. * Experience supporting SaaS, professional services, or enterprise implementations. * Bachelor's degree from an accredited college or university, or equivalent experience. * Strong analytical, problem-solving, and systems-thinking skills. * Excellent written and verbal communication skills. * Ability to influence cross-functional stakeholders without direct authority. * Experience working in client-facing consulting or professional services environments. * Ability to explain complex data architecture concepts to non-technical stakeholders. Preferred Qualifications * Knowledge of Microsoft Azure data services (Azure Data Factory, Azure SQL, or related). * Experience migrating data from legacy CRM/AMS systems and non-normalized data sources. ## Description Togetherwork is seeking a highly skilled and strategic Data Architect to support Protech implementations on the Microsoft Dynamics 365 platform. In this role, you will design and govern data migration, integration architecture, and CRM data models that enable scalable, reliable, and efficient onboarding outcomes. You will collaborate cross-functionally with Onboarding, Product, Engineering, and Analytics teams to ensure data integrity, reduce implementation risk, and support long-term platform scalability. What You'll Do * Conduct client data readiness assessments, evaluating source systems, data quality, and migration complexity during early implementation phases. * Define data cleansing, transformation, and validation frameworks to improve migration success rates. * Partner with Implementation Project Managers and Solution Consultants to ensure data architecture supports predictable delivery timelines. * Establish standardized migration playbooks, mapping templates, and reusable ETL frameworks to accelerate onboarding and reduce implementation risk. * Design and maintain conceptual, logical, and physical data models within Microsoft Dynamics 365 (Protech). * Define and document data architecture standards, integration patterns, and governance best practices. * Architect and oversee ETL processes using SSIS and other standard ETL tools. * Design and implement integrations leveraging KingswaySoft and/or Pentaho Data Integration. * Lead data migration strategy and execution support for onboarding and implementation projects. * Identify data dependencies, risks, and integration gaps early in the delivery lifecycle. * Ensure secure, scalable, and high-performance data exchange between D365 and external systems. * Collaborate with Product and Engineering to assess the architectural impact of platform enhancements. * Partner with Analytics teams to ensure reporting accuracy, consistency, and data integrity. * Develop reusable integration templates, migration accelerators, and standardized data patterns. * Proactively identify systemic data design issues and recommend improvements to reduce rework and onboarding delays. * Utilize AI-enabled tools to analyze source system data structures, identify data quality risks, and support scalable migration and integration architectures. * Maintain clear documentation of data flows, mappings, transformations, and integration logic. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Hacking MSSQL on Cloud. 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