Technical Project Manager - Databricks

1 нед. назад

ArgentinaLATAMRemote

databrickscloud computingproject managementdata engineeringmachine learning

Manage cloud data projects end to end, leading cross-functional technical teams in a remote data products and machine learning startup.

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀 At , we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning. We are looking for a proactive, hands-on, and business-oriented Technical Project Manager to join our team 🐶🚀. We're seeking someone with strong leadership and communication skills, well-versed in project management methodologies, and with a solid understanding of technical concepts across modern cloud data stacks. Adaptability, problem-solving abilities, and the capacity to work under pressure are key to success in this role. This role will own cloud data engagements end to e

End-to-end project planning & delivery – Define scope, objectives, and project plans with stakeholders, ensuring adherence to timeline, budget, and resources.
Team leadership – Assemble and lead cross-functional teams (data engineers, data scientists, etc.), assigning clear roles and tasks.
Tracking & reporting – Monitor progress, proactively catch deviations, and implement tracking/reporting mechanisms for stakeholders.
Risk management & governance – Establish governance structures, identify risks, and develop mitigation and contingency plans.
Quality & continuous improvement – Maintain project documentation, promote best practices, and stay current with cloud computing trends.

Graduate or Postgraduate degree in Computer Science, Information Technology, or a related field.
7-10+ years of IT experience managing delivery and interfacing with key project stakeholders.
At least 2 years of experience managing cloud data engagements such as data migration, data lake/data warehouse builds, data engineering, or data science projects.
Hands-on experience with modern cloud data stacks (e.g., Databricks, Spark, Python, AWS, Azure, GCP).
Hands-on knowledge of PM tools and techniques (Jira, Trello, Zoho Projects, Redmine, or similar).
Experience implementing and managing Agile engineering project best practices.
Experience in strategic planning, risk management, and/or change management.