Director, Data Engineering

Tasks

• Architect and maintain data pipelines
• Assess and optimize data architectures
• Build ETL and ELT frameworks
• Conduct root cause analysis and post implementation reviews
• Define data integration strategy
• Deliver enterprise data products and services
• Design scalable data processing workflows
• Drive enterprise digital transformation
• Ensure compliance with regulatory and governance standards
• Ensure data quality and governance
• Establish data architecture best practices
• Integrate new data sources
• Lead data architecture and platform strategy
• Manage data engineering initiatives
• Manage performance evaluation cycles
• Oversee data ingestion and transformation
• Plan workforce headcount and costs
• Provide coaching and feedback
• Recruit onboard and retain data engineering talent
• Set KPIs and performance objectives

Perks/Benefits

• N/A

Skills/Tech-stack

AWS | Agile | Apache Spark | Big Data | Change Management | Cloud Platforms | Data Architecture | Data Cataloging | Data Engineering | Data Governance | Data Lake | Data Pipelines | Data Processing | Data Quality | Data Warehousing | Databricks | Dimensional Modeling | Distributed Systems | Distributed Systems Monitoring | ELT | ETL | Information security | Machine Learning | Microservices | Real Time | Real-time Data | Real-time Data Processing | Recommendation Systems | Scrum | Systems monitoring