Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Sr. Forward Deployed Engineer (AI): Building and productionizing data and AI solutions for customers using the Databricks platform with an accent on end-to-end system architecture and ML/AI model integration. Focus on designing scalable reference architectures, implementing complex data pipelines, and solving high-impact business challenges for enterprise clients.
Location: Philadelphia, Pennsylvania
Salary: $182,000 — $250,208 USD
Company
Databricks is the data and AI company providing a Data Intelligence Platform to unify data, analytics, and AI for over 10,000 organizations worldwide.
What you will do
- Lead the delivery of production-grade systems, custom applications, and ML/AI model integrations.
- Design and implement reference architectures and end-to-end big data projects for strategic customers.
- Collaborate with engagement managers to scope technical delivery and align with customer needs.
- Own architecture and design decisions to ensure security, scalability, and adherence to best practices.
- Provide product and implementation feedback to Engineering and Support teams to guide product resolution.
- Create reusable accelerators and frameworks to scale impact and influence the product roadmap.
Requirements
- 6+ years of experience in data engineering, data platforms, or software engineering.
- Proficiency in Python, Scala, JavaScript/TypeScript, and modern frameworks.
- Expertise in at least one cloud ecosystem (AWS, Azure, GCP) and deep experience with Apache Spark runtime internals.
- Knowledge of CI/CD, MLOps, and AI APIs for production deployments.
- Proven experience in technical project delivery and managing stakeholders for enterprise clients.
- Databricks Certification and willingness to travel to customers 20% of the time.
Culture & Benefits
- Comprehensive benefits and perks tailored to the employee's region.
- Eligibility for annual performance bonuses and equity.
- Inclusive culture committed to diversity and equal employment opportunity.
- Opportunity to work with a worldwide team and the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.
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