Top Tech Jobs & Startup Jobs in Pensacola, FL

The Principal Data Platform Engineer leads the architecture and delivery of data platforms using Databricks, focusing on data pipeline design and client relationships.

As a Lead Data Scientist, you will shape data strategy, develop predictive models, analyze healthcare datasets, and collaborate with teams to enhance MDCalc's clinical decision tools.

Design, implement, and ship end-to-end features across backend services and a React web client for a multi-tenant ERP. Own schema design, migrations respecting row-level security, integrations with platform services, and deliver high-quality, performant code with CI/CD, tests, and code review. Leverage AI coding assistants responsibly and collaborate cross-functionally to evolve shared platform libraries and developer tooling.

Own and optimize high-scale AWS Aurora/MySQL multi-tenant databases (400+ schemas). Tune queries, indexes, InnoDB internals, replica/cluster behavior, ETL pipelines, observability (Datadog, performance_schema), capacity/cost, and mentor engineers. Evaluate GenAI tooling to automate diagnostics and fleet management.

Create, audit, and maintain internal and external CX content and knowledge bases (Salesforce preferred). Translate processes into user-friendly guides, manage content requests, develop team macros, and coordinate with Product, Marketing, Legal, and CX leadership to ensure accurate, consistent, brand-aligned customer support resources.

Lead the technical roadmap and hands-on development of a scalable data platform, build analytics and data access solutions, ensure data quality/governance/observability, mentor and grow a team of data engineers, collaborate cross-functionally, and evaluate new big-data technologies.

Lead retention and churn efforts by building survival and lifecycle-state models, classifying churn reasons, creating personalized win-back and next-best-action interventions, optimizing offers/promos, designing uplift experiments, and owning production model lifecycle, monitoring, and MLOps across Product, CRM, Marketing, and Engineering.

Lead post-contract partner management for strategic collaborations: own onboarding, cross-functional execution, performance tracking, renewals, and expansion. Negotiate agreements, run business reviews, surface insights to product and GTM teams, and drive measurable partner growth and retention.

Build AI-native offensive security capabilities: develop AI-assisted vulnerability discovery, exploit validation, reverse-engineering and pen-testing pipelines; design agentic workflows and eval harnesses; perform static/dynamic analysis and authorized live testing; produce reproducible technical reports and improve safety, auditability, and human-in-the-loop controls.

The AI Enablement Lead facilitates AI adoption in enterprises, delivering training programs, coaching sessions, and developing curriculum while engaging closely with customer leadership.