The Mission:
Your goal is to optimize the flow of data from source to Snowflake, ensuring it's accessible, clean, and actionable for stakeholders across our client's business.
You will be the 'Definition of Ready' champion, ensuring dev teams have the clarity they need to build high impact solutions.
What you'll do:
Translate Complexity: Turn vague stakeholder 'wants' into precise technical 'needs.'
Own the Lifecycle: From initial elicitation to defining acceptance criteria and monitoring quality.
Prioritize for Impact: Work directly with technical leads to ensure the team is building the right things in the right order.
Acceptance Criteria: Develop clear acceptance criteria for scrum teams to ensure that deliverables meet the specified requirements.
Quality Management: Monitor and manage the quality of delivered data solutions, ensuring they align with business objectives.
Who you are:
A seasoned BA/PO (7+ years) with a footprint in Data Engineering.
Someone who views documentation as a roadmap, not just a chore.
A communicator who can speak 'data warehousing concepts and technologies, particularly Snowflake,' to developers and 'product outcomes' to business.
Why join?
You'll have a seat at the table in a high visibility product offering, working with modern tech stacks and a team that values precision and collaboration.
Key Responsibilities
Requirements Gathering: Collaborate with stakeholders to understand their data needs along with their platform architecture and translate them into actionable requirements.
Analysis: Analyze data landscape, platform and workflows to identify areas for improvement in data handling and reporting.
Definition of Ready: Ensure that requirements are clearly defined and ready for the development team to initiate the project.
Prioritization: Work with stakeholders to prioritize tasks and features based on business value and impact.
Documentation: Maintain comprehensive documentation of product requirements, processes, and changes for transparency and alignment.
Collaboration: Engage with technical teams on a daily basis to define the what, ensure effective delivery, providing guidance and support throughout the sprint lifecycle.
Acceptance Criteria: Develop clear acceptance criteria to ensure that deliverables meet the specified requirements.
Review the pipelines or frameworks delivered before closing the scope of the user stories.
Quality Management: Monitor and manage the quality of delivered data solutions, ensuring they align with business objectives.
Qualifications
Proven experience as a Data Engineer/ Data Platform Product Owner/ Data Platform Technical analyst, preferably in data engineering or data analytics projects.
Strong analytical skills with an ability to interpret complex data sets.
Excellent communicationand interpersonal skills to effectively collaborate with technical teams and stakeholders.
Proficient with data warehousing concepts and technologies, particularly Snowflake, is a plus.
Proficient in documentation and requirements management tools.
To submit an application click 'Apply Now' or contact ****** on *********
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