Description

You will lead the end-to-end delivery of data products on Azure, aligning them with life science customer needs and strategic goals.

Responsibilities

• Gather requirements and prioritize features by collaborating with data & BI engineers, architects, and business stakeholders.
• Provide technical guidance on Azure services and data architecture to ensure data product performance, scalability, and security.
• Oversee project timelines, budgets, and resources to ensure timely delivery and quality adherence.
• Monitor product performance and user feedback to drive continuous improvement in data solutions.

Required Skills

• 5+ years of relevant experience.
• Proficiency in SQL and Python.
• Strong understanding of Data Architecture, ETL Pipelines, and APIs.
• Experience with cloud platforms, including Azure, AWS, and GCP.
• Familiarity with BI tools such as Tableau and Power BI.
• Experience working within Agile/Scrum methodologies.
• Excellent communication and stakeholder management skills.

Key Skills

Education

Any Graduate