Databricks Data Product Technical Owner D/F/M
OverviewIn this role you will design, develop, and govern data products and pipelines on the Databricks platform to enable scalable analytics, reporting, and AI.
You'll work within a newly established Data Organization to advance a Data Mesh operating model and establish engineering practices and governance.
You will translate business needs into robust data solutions while aligning with architecture and platform standards, combining hands-on delivery with coordination and governance.
This is a cross-functional, impact-driven role that accelerates data-driven decision making across the organization.
Retribuzione / Benefitsflexible working hours
private medical care options
life insurance and disability programs
tailored financial programs
additional elected or voluntary benefits
ResponsabilitàDesign, develop, and maintain Data Products and data pipelines on Databricks
Support reporting, analytics, and AI use cases with scalable data solutions
Contribute to data architecture, modeling, standards, and design reviews
Coordinate delivery across Data Engineers, Architects, stakeholders, vendors and partners
Support backlog management, sprint planning, release planning, and dependency management
Drive issue resolution, performance optimization, and operational improvements
Support Data Governance activities including metadata, lineage, definitions, certification, and stewardship
Implement and monitor data quality, access control, and compliance
Support platform operations, incident management, and continuous improvement
Leverage AI assistants and modern tools to accelerate development and documentation
Requisiti fondamentaliBachelor's degree in Computer Science, Engineering, Information Systems or other STEM disciplines
3/5 years of BI project management experience with a focus on Databricks
Experience with Python, PySpark, SQL, and AWS-based data platforms
Experience in Data Engineering, Data Warehousing, BI, or Analytics environments
Familiarity with Git, CI/CD, ServiceNow, and Agile tools (Rally)
Experience supporting production environments and operational processes
Flexible mindset across engineering, delivery, operations and governance
Strong communication and stakeholder management skills
Databricks certifications preferred; additional credentials in Data Engineering, AWS Cloud, Data Governance, or Analytics advantageous
Strong communication
Stakeholder management
Cross-functional collaboration
Databricks
Python
PySpark
You'll work within a newly established Data Organization to advance a Data Mesh operating model and establish engineering practices and governance.
You will translate business needs into robust data solutions while aligning with architecture and platform standards, combining hands-on delivery with coordination and governance.
This is a cross-functional, impact-driven role that accelerates data-driven decision making across the organization.
Retribuzione / Benefitsflexible working hours
private medical care options
life insurance and disability programs
tailored financial programs
additional elected or voluntary benefits
ResponsabilitàDesign, develop, and maintain Data Products and data pipelines on Databricks
Support reporting, analytics, and AI use cases with scalable data solutions
Contribute to data architecture, modeling, standards, and design reviews
Coordinate delivery across Data Engineers, Architects, stakeholders, vendors and partners
Support backlog management, sprint planning, release planning, and dependency management
Drive issue resolution, performance optimization, and operational improvements
Support Data Governance activities including metadata, lineage, definitions, certification, and stewardship
Implement and monitor data quality, access control, and compliance
Support platform operations, incident management, and continuous improvement
Leverage AI assistants and modern tools to accelerate development and documentation
Requisiti fondamentaliBachelor's degree in Computer Science, Engineering, Information Systems or other STEM disciplines
3/5 years of BI project management experience with a focus on Databricks
Experience with Python, PySpark, SQL, and AWS-based data platforms
Experience in Data Engineering, Data Warehousing, BI, or Analytics environments
Familiarity with Git, CI/CD, ServiceNow, and Agile tools (Rally)
Experience supporting production environments and operational processes
Flexible mindset across engineering, delivery, operations and governance
Strong communication and stakeholder management skills
Databricks certifications preferred; additional credentials in Data Engineering, AWS Cloud, Data Governance, or Analytics advantageous
Strong communication
Stakeholder management
Cross-functional collaboration
Databricks
Python
PySpark