Sr. Manager, Data & Analytics

Tasks

• Architect data platform architecture
• Build scalable data pipelines
• Define analytics semantic layer
• Deliver batch and streaming data pipelines
• Develop AI native data quality monitoring
• Enable AI-assisted development
• Ensure data platform reliability
• Establish data contracts
• Govern data metrics
• Implement dbt modeling standards
• Implement observability and SLAs
• Integrate LLM tooling into workflows
• Lead analytics engineering teams
• Lead data engineering teams
• Manage vendor evaluations
• Own data platform roadmap
• Perform incident response
• Prototype NL to SQL
• Set data quality documentation and governance standards

Perks/Benefits

• N/A

Skills/Tech-stack

AI anomaly detection | AI coding | AI coding assistant | AI documentation | AI experimentation | Amazon Kinesis | Analytics engineering | Anomaly Detection | Apache Airflow | Apache Flink | Apache Kafka | Batch Processing | BigQuery | Cloud Data | Cloud Data Warehouse | Coding Assistant | DBT | Dagster | Data Catalog | Data Contracts | Data Engineering | Data Modeling | Data Observability | Data Quality | Data Warehouse | Data mesh | Databricks | ELT | Evaluation datasets | Feature Store | LLM | Metrics governance | Model metadata | Natural Language | Natural Language to SQL | Nl2sql | Orchestration | Prefect | Python | Reverse ETL | SQL | Semantic layer | Snowflake | Streaming Data | Vector Database