Teams at Bridgenext

Leads Salesforce and Agentforce solution architecture for enterprise consulting engagements. Owns end-to-end solution vision, facilitates discovery workshops, aligns business and technical strategies, advises on declarative and custom solutions, and guides cross-functional Agile delivery teams. Builds executive client relationships, manages scope and expectations, supports onboarding and training, creates technical documentation, and identifies opportunities for future work. The role is remote in North America, requires EST availability, and may involve up to 10% travel.

Analyze and document capital markets reference data requirements for a platform replacement. Lead stakeholder workshops, define security, pricing, entity, issuer, portfolio, and fund mastering rules, review vendor mappings, assess downstream impacts, and create specifications, process flows, data dictionaries, user stories, and acceptance criteria. Use SQL and Excel for profiling, reconciliation, mapping validation, and root-cause analysis. Partner with QA on testing, support UAT, manage requirements, and communicate dependencies and risks.

Owns the full lifecycle of cloud-native data and AI products in Azure, including ingestion, pipelines, modeling, analytics, APIs, dashboards, AI/LLM enablement, deployment, monitoring, and optimization. The role uses Python, FastAPI, Databricks, Azure Kubernetes Service, Azure OpenAI, SQL and NoSQL databases, and front-end technologies to deliver governed, reusable, business-ready data products.