Qualification Required

• Work with Product Management to understand product direction and high-level scope
• Track project performance, specifically to analyze the successful completion of short and long-term goals.
• Maintain expertise with respect to cloud platform usage and billing files
• Manage both internal and external professional documentation.
• Perform or assist with proof-of-concept work in order to scope development efforts
• Constantly cycle feedback from customers, internal stakeholders, and engineers into the development cycle as user stories and epics
• Work with engineering leads or scrum masters to define and refine each feature and user and story’s scope, requirements, and details.
• Support engineering teams with proper documentation, diagrams, and other resources
• Coordinate with analysts to provide data inputs and output models to guide development efforts
• Facilitate user acceptance testing, when necessary
• Ensure completion of acceptance criteria, in particular those requiring in-depth analysis
• Track capacity, velocity, and current skill sets of development team to adjustment to roadmap
• Ensure internal alignment regarding release dates, value, and requirements of features.
• Prioritize agile teamwork efforts in alignment with strategic goals and objectives.
• Answer questions from dev teams, clarifying requirements.
• Encourage innovation and ongoing process improvements.
• Brief and train the sales force and other customer-facing colleagues.

Roles and Responsibilities

• Design and develop data processing pipelines and analytics solutions using Databricks.
• Architect scalable and efficient data models and storage solutions on the Databricks platform.
• Collaborate with architects and other teams to migrate current solution to use Databricks.
• Optimize performance and reliability of Databricks clusters and jobs to meet SLAs and business requirements.
• Use best practices for data governance, security, and compliance on the Databricks platform.
• Mentor junior engineers and provide technical guidance.
• Stay current with emerging technologies and trends in data engineering and analytics to drive continuous improvement.

Technical Expertise

• Overall 12+ years and 4+ years previous experience as a product owner.
• Solid technical background, with understanding or hands-on experience in Software development. or DevOps Engineering etc.
• Intermediate skills with SQL Queries
• Solid understanding of the product life cycle.
• Solid understanding of the Scaled Agile Framework.
• Exceptional communication and presentation skills
• Strong interpersonal skills, ability to influence others and work effectively in a cross-functional team.
• Degree in Computer Science, Information Systems, industrial engineering or equivalent.
• Certification in one or more hyperscale cloud provider