Senior Manager | Data Engineer & Cloud Analytics Barcelona
Tasks
- Align business needs with scalable secure data solutions
- Conduct executive client engagement
- Coordinate technical proposals and estimates
- Create best practices and engineering methodology
- Defend solutions with business and technical stakeholders
- Develop team capabilities and training
- Direct data and analytics project delivery
- Ensure scope quality timeline budget compliance
- Identify technical and operational risks
- Lead RFP responses
- Lead data architecture and solution definition
- Lead data engineering business development
- Lead teams of data engineering and architects
- Manage key accounts
- Manage project risks and dependencies
- Monitor team performance and workload
- Resolve critical delivery issues
- Run architecture reviews and roadmap planning
- Select technologies and architectural patterns
- Track project financials margin and forecasts
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Kinesis | AWS Lambda | Amazon Athena | Amazon Redshift | Amazon S3 | Analysis Services | Analytics | Apache Kafka | Azure Analysis | Azure Analysis Services | Azure Data | Azure Data Factory | Azure Data Lake | Azure Databricks | Azure SQL | Azure Synapse | Azure Synapse Analytics | BigQuery | Business Intelligence | Cloud Storage | Cloud analytics | Cloudera | Data Architecture | Data Assessment | Data Engineering | Data Factory | Data Governance | Data Lake | Data Quality | Data Warehouse | Data platform | Data strategy | DataOps | Delta Lake | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Storage | Google Dataflow | Google Dataproc | Hadoop | ITIL | Kafka Connect | Lakehouse | MLOps | Microsoft Azure | Microsoft SQL | Microsoft SQL Server | MySQL | Oracle | PMP | Power BI | SQL Server | Security | Snowflake | Streaming Analytics | Synapse Analytics
Education
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