Назад
6 дней назад

Senior Technical Program Manager, FDE - LATAM (Data & AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Technical Program Manager, FDE - LATAM (Data & AI): Building and productionizing customer-facing data, AI, and application solutions on the Databricks platform with an accent on end-to-end architecture, distributed computing, and production delivery. Focus on designing secure and scalable systems, integrating data pipelines with ML/AI models and user-facing interfaces, and guiding complex enterprise projects to measurable outcomes.

Location: USCA; travel to customers 20% of the time

Company

Databricks is a Data and AI company providing a unified platform for data engineering, analytics, machine learning, and AI application development.

What you will do

  • Lead customer technical projects by designing and delivering production-grade data platforms, reference architectures, custom applications, data ingestion systems, and ML/AI integrations.
  • Guide strategic enterprise customers through the end-to-end design, build, deployment, evaluation, and adoption of big data and AI applications.
  • Own architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • Embed with customer teams, work with technical and executive stakeholders, provide training, and translate complex challenges into actionable solutions.
  • Coordinate with Databricks engineering, customer support, project management, architecture, and customer teams to deliver engagements and resolve implementation issues.
  • Develop reusable accelerators, frameworks, and best practices that scale across accounts and inform the Databricks product roadmap.

Requirements

  • 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
  • Ability to write code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
  • Working knowledge of at least two major cloud ecosystems among AWS, Azure, and GCP, with expertise in at least one.
  • Deep experience with distributed computing using Apache Spark, including knowledge of Spark runtime internals.
  • Familiarity with CI/CD for production deployments, MLOps, ML/AI models, and AI APIs.
  • Experience designing and deploying performant, production-ready end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
  • Experience delivering technical projects, managing scope and timelines, measuring outcomes, and translating complex concepts into actionable solutions.
  • Documentation and whiteboarding skills, plus experience working with enterprise clients and managing conflicts across diverse stakeholders.
  • Databricks Certification.

Culture & Benefits

  • Customer-facing, hands-on work at the intersection of technology and business impact.
  • Cross-functional collaboration with engineering, product, developer relations, project management, architecture, and customer support.
  • Comprehensive benefits and perks, with details varying by region.
  • Commitment to an inclusive culture and equal employment opportunity.

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