Senior Manager | Data Engineer & Cloud Analytics
Tasks
- Allocate assignments and capacity
- Conduct architecture reviews and roadmaps
- Coordinate proposals and estimates
- Create methodology and best practices
- Defend technical proposals
- Develop scalable secure data solutions
- Direct data engineering projects
- Ensure data deliverable quality and alignment
- Ensure scope quality schedule budget
- Guide technology selection
- Identify technical and operational risks
- Lead RFP responses
- Lead business development
- Lead consulting teams
- Lead data architecture definition
- Manage Enterprise accounts
- Manage performance and professional development
- Manage project risks and dependencies
- Promote knowledge sharing
- Provide executive client communication
- Resolve critical project issues
- Track project financials revenue costs margin
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Athena | AWS Glue | AWS Lambda | AWS Redshift | AWS S3 | Analysis Services | Analytics | Apache Kafka | Azure Analysis | Azure Analysis Services | Azure Data | Azure Data Factory | Azure Data Lake | Azure SQL | Azure Synapse | Azure Synapse Analytics | Batch Processing | BigQuery | Business Intelligence | Cloud Storage | Cloud analytics | Cloudera | Data Architecture | Data Engineering | Data Factory | Data Governance | Data Lake | Data Lakes | Data Quality | Data Security | Data Warehousing | Data platform | Data strategy | DataOps | Databricks | Delta Lake | ELT | ETL | Event Driven | Event-driven architecture | Financial Forecasting | Google Cloud | Google Cloud Storage | Google Dataflow | Google Dataproc | Hadoop | IT Service Management | IT service | Kafka Connect | Kinesis | Lakehouse | MLOps | Microsoft SQL | Microsoft SQL Server | MySQL | Oracle | Power BI | Project Management | Requirements Gathering | Resource Planning | Risk Management | SQL Server | Service Management | Snowflake | Streaming | Synapse Analytics
Education
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