AI Data Enablement Lead

Tasks

• Coordinate onsite and offshore teams
• Design and develop data pipelines
• Drive performance tuning and operational best practices
• Embody company values in collaboration and accountability
• Ensure data architecture aligns with standards
• Ensure data security and compliance
• Manage delivery timelines and risks
• Mentor data engineers
• Monitor and troubleshoot data pipelines
• Optimize SQL queries and Spark jobs
• Own end-to-end data delivery on Databricks
• Partner with stakeholders to support analytics
• Promote continuous improvement and innovation
• Provide technical leadership and design guidance

Perks/Benefits

• Health benefits
• Paid time off
• Retirement plan

Skills/Tech-stack

Apache Spark | Azure Data | Azure Data Factory | Cloud Data | Cloud Data Platforms | Data Engineering | Data Factory | Data Governance | Data Ingestion | Data Modeling | Data Pipelines | Data Security | Data Transformation | Data analytics | Data platforms | Databricks | ETL/ELT | Performance optimization | SQL | Stakeholder management | Technical leadership