Databricks Data Product Lead & Tech Owner

Baker Hughes Inc.; Firenze; On-site; EUR 44,000 - 70,000; Full time

Benefits offered by this job

Flexible working hours

Private medical care

Life insurance

Job summary

Baker Hughes Inc. in Italy is looking for a Databricks Data Product Technical Owner to lead data products, pipelines, and governance on the Databricks platform. You will coordinate across engineers, architects, and stakeholders to deliver scalable data solutions.

You will drive data architecture, standards, and reviews, while supporting reporting, analytics, AI, and self-service use cases. Strong communication and Agile delivery are essential.

Qualifications

• Bachelor's degree in CS, Engineering, IS or related STEM field.
• 3–5 years in BI project management with focus on Databricks.
• Proficient in Python, PySpark, SQL, and AWS-based platforms.
• Experience in Data Engineering, Data Warehousing, BI or Analytics.
• Familiar with Git, CI/CD, ServiceNow, and Agile methods.
• Excellent communication with stakeholders.
• Databricks certifications preferred.

Responsibilities

• Design, develop, and maintain data products and pipelines on Databricks.
• Support reporting, analytics, AI, and self-service use cases.
• Contribute to data architecture, standards, and reviews.
• Coordinate delivery across Data Engineers, Architects, stakeholders, vendors.
• Support backlog management, sprint planning, releases and dependencies.
• Drive resolution of technical issues, risks, and performance.
• Support Data Governance, metadata, lineage, and classifications.
• Ensure platform operations, incident management and improvement.
• Leverage AI tools to accelerate development and documentation.

Skills

Stakeholder management

Communication

Leadership

Problem solving

Agile delivery

Education

Bachelor's Degree in CS/Engineering/IS or related STEM

Tools

Databricks

Python

PySpark

SQL

AWS

Job description

Baker Hughes Inc. in Italy is looking for a Databricks Data Product Technical Owner to lead data products, pipelines, and governance on the Databricks platform. You will coordinate across engineers, architects, and stakeholders to deliver scalable data solutions.

You will drive data architecture, standards, and reviews, while supporting reporting, analytics, AI, and self-service use cases. Strong communication and Agile delivery are essential.