Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and architecture of large-scale data infrastructure and pipelines on Azure Databricks (Data Lakehouse).
Develop automated, secure data ETL/ELT solutions in Azure, optimizing for storage and compute costs.
Troubleshoot production pipeline failures, ensure data quality, and drive governance, security, and reliability best practices.
Minimum Requirements
5–8 years of experience in data engineering or platform roles (8+ years often preferred).
Expert hands-on skills in Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
Strong proficiency in SQL (OLAP, OLTP, dimensional modeling) and Python/Scala for Spark.
Experience with CI/CD, Infrastructure as Code (IaC), and knowledge of data security/compliance (RBAC, encryption, GDPR).
Ideal Candidate Profile
Experienced in designing and managing scalable Azure cloud data architectures focusing on cost optimization and security.
Proficient in integrating complex business requirements into robust, automated data pipelines with proven troubleshooting capabilities.
Able to mentor and coordinate effectively with global cross-functional teams including data scientists and analysts.