Description

Lead a team of data engineers to design, build, and maintain the organization's data architecture and ecosystem.

Responsibilities

• Lead and mentor a team of data engineers to meet project goals and deadlines.
• Design and maintain data architecture, including data warehouses, data lakes, and lakehouse architectures.
• Build and optimize ETL pipelines to integrate internal and external data sources.
• Implement data governance, security measures, and monitoring systems to ensure data quality and compliance.
• Collaborate with data scientists, product managers, and DBA teams to design and deploy technical solutions.

Required Skills

• 18+ years of professional experience in data engineering.
• Deep expertise in Data Lakehouse architecture.
• Advanced proficiency with SSIS ETL tools.
• Hands-on experience with Azure Cloud, ADF, Azure Synapse Analytics, and Azure Hub Events.
• Working knowledge of Power BI.
• Experience integrating data from SAP and Salesforce.
• Ability to design data transformation, cleaning, and orchestration processes.
• Experience managing data security through access controls and encryption.
• Bachelor’s Degree.

Key Skills

Education

Bachelor’s Degree