Jobs at CapTech

Lead cross-functional delivery teams on complex consulting engagements, build trusted client relationships, develop and report integrated program plans, manage scope/risk/issue triage, and perform hands-on analysis, design, process engineering, and change management. Advocate digital accessibility and inclusive design throughout projects.

Design, implement, and maintain cloud-based data pipelines and architectures across AWS/Azure/GCP. Advise clients on best practices, partner with stakeholders to translate requirements, provide technical leadership, and mentor engineers while leveraging ETL/orchestration tools, data warehouses/lakes, databases, and programming languages for scalable data solutions.

Design and recommend end-to-end data architectures to meet client business goals. Assess and advocate data management technologies, improve data integration, quality, and delivery, evaluate architectural tradeoffs, mentor staff, collaborate with stakeholders, drive thought leadership, and support business development efforts.

Design, develop, and maintain enterprise systems and integrations across front-end and back-end. Build and consume RESTful APIs, implement cloud and microservice architectures, optimize performance and scalability, mentor teammates, and communicate technical solutions to clients and stakeholders.

Design, implement, and maintain cloud-based data pipelines and architectures (ETL, data lake/warehouse). Advise clients on best practices, collaborate with product owners, mentor engineers, and deliver scalable distributed data solutions using cloud platforms and orchestration tools.

Design, build, and maintain cloud data pipelines and data architecture using AWS/Azure/GCP. Advise clients on cloud data strategies, collaborate with stakeholders, and deliver production-ready data products.

Design, develop, and maintain full-stack enterprise applications and integrations. Build and consume RESTful APIs, implement cloud-native and serverless solutions, optimize performance and scalability, mentor teammates, and communicate technical solutions to clients and stakeholders.

Lead delivery for cross-functional teams on complex technology engagements. Manage project plans, risks, and stakeholders; implement Agile/Waterfall practices; drive Dynamics 365 and Power Platform implementations; perform hands-on analysis, design, process engineering, and change management; mentor other project managers and support account management.

Lead design, build, and productionize scalable ML systems on cloud platforms. Provide technical leadership, mentor teams, translate business needs into data-driven solutions, work with large datasets, implement recommender/NLP/vision models, leverage LLMs and agentic architectures, and support business development and client engagements.

Design and recommend end-to-end data architectures across on-premises and cloud platforms, improve data integration and quality, guide governance and tooling choices, mentor staff, and collaborate with clients and business development to deliver modern data solutions.

Design, build, and maintain cloud data pipelines and data architecture on AWS, Azure, or GCP. Advise clients on cloud data strategies, collaborate with stakeholders, implement production data systems, and articulate architectural tradeoffs.

Lead data architecture strategy and delivery for clients: assess current state, design modern cloud and hybrid data platforms, guide ingestion/storage/modeling, enforce governance, lead data engineering teams, present recommendations to executives, and grow practice capabilities and talent.

Lead cross-functional teams and manage large, complex consulting engagements. Build trusted client relationships, develop integrated plans, monitor milestones, resolve scope issues, perform hands-on analysis/design/change management, and advocate inclusive design and digital accessibility.

Design, develop, and productionize scalable machine learning and data science solutions for clients. Analyze very large datasets across cloud platforms, implement recommender/NLP/computer vision and LLM-based systems, optimize for performance and scalability, leverage containerization and data warehousing, and lead/mentor junior practitioners while supporting business development and client strategy.

Design and advocate modern, cloud-native data architectures; lead teams to implement ingestion, storage, streaming, and warehouse solutions; align architecture with business goals; advise stakeholders; drive data governance and best practices; support business development and mentor data talent.

Design, build, and productionize scalable machine learning systems; analyze and transform large datasets; implement recommender, NLP, and other analytic solutions; deploy models in cloud/enterprise environments; collaborate with clients and lead junior team members while contributing to business development.

Lead design and delivery of end-to-end, production-scale ML systems on cloud platforms. Provide technical leadership, mentor teams, analyze and transform large datasets, implement recommender/NLP/risk models, productionize scalable ML, and grow practice through client-facing activities and business development.

Lead and coordinate multiple agile teams at scale, run PI planning and scaled events, manage cross-team dependencies, roadmaps, budgets, and stakeholder communication, and optimize processes using agile metrics and tooling.

Lead and coordinate multiple agile teams using scaled frameworks (SAFe/LeSS/Scrum@Scale). Facilitate PI planning and scaled events, manage dependencies, risks, and budgets, maintain program roadmaps, align business and technical delivery, surface work via Jira/Dynatrace/Harness, coach teams on agile practices, and report program health to stakeholders.

The Solutions Architect will design and deliver AI solutions, engage with clients, ensure successful implementation of projects, and contribute to business development within a consulting environment.