Bridgenext
From Bridgenext's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Company Overview
At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins. We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS. More than a technology company or marketing agency, we're a global digital consultancy with experts in engineering, data, AI, creative and more.
Our teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do. Every team member directly shapes our work, culture, and values. Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone. Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive.
Position Description
We have a great opportunity for a skilled Data Engineer to join our team and play a key role on our client's migration project. Our client is currently on Palantir Foundry. We're proposing to migrate them off Palantir and rebuild equivalent capabilities on Databricks. We need a senior, hands-on engineer who knows Foundry deeply enough to reverse-engineer what's been built, and can rebuild it on Databricks. This is a client-facing, high-visibility role, not a back-office dev position.
Workplace: This is remote working role, open to candidates based in Argentina, Canada or US, willing to travel as needed to Cleveland, OH
8+ years total experience
Worked at Palantir as an FDE/FDSE/Deployment Strategist, or worked on the client side building on Foundry for a meaningful period (not just exposure)
Hands-on with Foundry Ontology (object types, links, actions, functions), Pipeline Builder, Code Repositories, and Workshop apps
Strong Databricks experience: PySpark, Delta Lake, Unity Catalog, workflows/pipelines
Strong Python and SQL
Has designed data models and translated business workflows into working applications
Comfortable in front of client stakeholders: can run working sessions, explain trade-offs, push back when needed
Prior Foundry-to-other-platform migration experience
AIP / Databricks Mosaic AI, agents, or GenAI use cases in production
Knowledge graph or semantic layer experience
App-layer build experience (Databricks Apps, React, Streamlit)
Manufacturing, retail, or product data domain background
Excellent English written and verbal communication skills
Excellent collaboration skills
Strong analytical and problem-solving skills
Strong team and individual player
Maintains composure during all types of situations and is collaborative by nature
High standards of professionalism, consistently producing high quality results
Self-sufficient, independent requiring very little supervision or intervention
Passion for learning new technologies and staying current with industry trends
Bridgenext is an Equal Opportunity Employer
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