Lead Data Engineer at AristaNetworks

About the Role

You'll be part of the IT applications team as a Lead Data Engineer, responsible for architecting and implementing scalable data solutions.

Key Responsibilities

• →Collaborate with stakeholders and source data system teams to understand data requirements
• →Architect and implement scalable workspace, data lake, dimensional models, data pipelines, data warehouses and other ETL/ELT processes using Fabric
• →Work with Fabric assets, Power BI, and other services to build end-to-end data solutions
• →Ensure data quality, security, and compliance with regulations by implementing data validation, logging, monitoring, and role-based access controls
• →Perform root cause analysis on internal/external data and processes to answer specific business questions and identify opportunities for improvement
• →Manage platform cost optimization, data quality/governance, and performance tuning
• →Follow software quality process and methodology standards
• →Review requirements / user stories and provide feedback to the team
• →Integrate AI/ML models and GenAI capabilities into data products and workflows
• →Help the QA and functional team to identify and define testing strategies for existing and new features