Role Overview:
We are seeking a skilled Data Solution Lead to join our APAC Technology Services Data & Analytics team. Based in Beijing Shanghai, you will be the lead engineer responsible fdesigning, iterating enterprise-level data platforms solutions, primarily on Microsoft Azure, with AWS on occasion. You will work closely with business IT stakeholders in China regionally to understrequirements, design data architecture which follow J&J global standards, enable advanced analytics reporting.
Key Responsibilities:
Ø Collaborate with business teams to advise on translate requirements technical solutions, within the Innovative Medicine China portfolio.
Ø Serve as the data architect fenterprise-level data platform, establishing engineering best practices in data modeling, ETL/ELT data integration, primarily in Azure databricks.
Ø Proactively explore integrate AI-driven tools (e.g., AI Coding, Automated AI agents) daily workflows to optimize data engineering tasks boost operational efficiency.
Ø Drive the implementation of dashboards reports in Tableau Power BI fbusiness stakeholders.
Ø Lead the third party technical team, provide technical guidance ensure data engineer governance framework is fully implemented.
Ø Communicate effectively with key stakeholders across business IT, managing expectations delivering updates in clear English.
Qualifications Experience:
Ø Bachelor’s Master’s degree in Computer Science, Engineering, Data Science, a related field.
Ø Minimum of 5 years of hands-on experience in data engineering, with at least 3 years focused on Azure cloud services. Strong expertise in Azure data services: Azure Databricks, Azure Data Factory, Azure Synapse, Azure Data Lake, etc.
Ø Proven ability to communicate complex data architectures to non-technical stakeholders.
Ø Experience with data visualization tools such as Tableau Power BI.
Ø A strong passion femerging AI technologies, with hands on experience with AI productivity tools, such as Github Copilot, Kiro.
Ø Proven track record of leading data projects managing stakeholders.
Ø Strong problem-solving skills ability to work in a fast-paced, global team environment.
Preferred Skills:
Ø Certification in Azure Data Engineering Databricks Data Engineer.
Ø Solid understanding of GenAI fundamentals, with hands-on experience in building RAG pipelines development custom AI agents using frameworks such as LangChain.
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