Top Tech Jobs & Startup Jobs

Lead Dynamics 365 and Power Platform implementations: develop strategy and roadmaps, assess processes, configure modules (Customer Service, HR, Finance), guide integrations, lead teams, deliver training, and drive continuous system improvements to maximize business value.

Lead data strategy and delivery for clients: translate business needs into data architecture and roadmaps, assess and recommend data management technologies, implement integrations and real-time data solutions, establish governance and data quality, scope consulting engagements, and mentor technical teams while supporting business development and client relationships.

Lead data strategy engagements, advise clients on data architecture and governance, design data integration and quality plans, evaluate data management technologies, lead delivery teams, mentor consultants, and support business development and scoping for cloud and on-prem data platforms.

Develop and implement Dynamics 365 solutions, conduct organizational analysis, provide configuration support, and lead training initiatives for users to enhance platform adoption.

The MuleSoft Architect will design, develop, and deliver enterprise systems and integrations, collaborating with clients and teams in a project-based environment.

The Salesforce Architect will design Salesforce solutions, manage technical delivery, communicate with stakeholders, and mentor teams, ensuring alignment with business goals.

The Lead Machine Learning Engineer will design and implement data-driven solutions, provide technical leadership, and deploy machine learning systems for clients.

Lead Machine Learning Engineer at CapTech focuses on designing and deploying scalable machine learning systems and providing technical leadership.

The Senior Data Architect at CapTech will develop strategies for data delivery by assessing technologies, improving data management, and leading teams to maximize data value for clients.

The Lead Data Architect will strategize and implement data delivery solutions, enhance data management practices, and lead engineering teams to align data architecture with business goals.