About the Role:

As a Senior Cloud Architect at Sesheng, you will play a pivotal role in designing, architecting, and implementing robust and scalable data solutions on the Microsoft Azure platform, with a strong focus on Azure Databricks. You will work closely with data engineers, data scientists, and business stakeholders to deliver innovative solutions that drive business value.

Responsibilities:

Architecture Design: Design and implement complex data architectures, including data lakes, data warehouses, and data pipelines.
Define data governance policies and standards.
Develop data security and privacy strategies.
Azure Databricks Expertise: Leverage Azure Databricks to build and optimize data pipelines, data ingestion, and data processing workflows.
Implement data engineering best practices, including data quality, lineage, and monitoring.
Utilize advanced analytics techniques, such as machine learning and AI, to extract insights from data.
Cloud Technologies: Design and implement cloud-native solutions on Azure, including compute, storage, and networking services.
Optimize cloud costs and performance.
Ensure high availability, scalability, and security of cloud-based solutions.
Team Leadership: Mentor and guide junior team members.
Collaborate effectively with cross-functional teams, including data engineers, data scientists, and business analysts.
Problem-Solving: Identify and troubleshoot complex technical issues.
Proactively anticipate and mitigate potential risks.

Qualifications:

8+ years of experience in data engineering, data warehousing, or data science.
5+ years of experience with Azure Databricks.
Strong proficiency in SQL, Python, and Scala.
Experience with data ingestion tools ( Azure Data Factory, Azure Synapse Analytics).
Knowledge of data modeling techniques (Kimball, Inmon).
Understanding of cloud computing concepts and Azure services.
Experience with data security and privacy best practices.
Strong problem-solving and analytical skills.
Excellent communication and collaboration skills.

Preferred Qualifications:

Azure certifications (Azure Data Engineer, Azure AI Engineer).
Experience with machine learning and AI frameworks (MLflow, PySpark).
Knowledge of DevOps practices and tools (Azure DevOps, Git).

If you are a passionate cloud architect with a strong background in data and a passion for innovation, we encourage you to apply.

Sesheng

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