Enterprise Data, Analytics & AI
Houston, Texas, United States of America
USD 113K-171K (estimate) Senior-level Full Time
Tasks
- Architect data platform
- Build data ingestion pipelines
- Build self-service analytics
- Communicate roadmaps risks and results
- Create semantic layers
- Define AI/ML roadmap
- Define KPIs and metrics framework
- Deliver executive reporting
- Deploy and monitor AI/ML models
- Develop BI infrastructure
- Develop production AI ML models
- Drive adoption of data stack tooling
- Establish data quality frameworks
- Hire and mentor data team
- Implement MLOps best practices
- Integrate LLM capabilities into workflows
- Lead master data governance
- Manage vendor relationships and licensing
- Monitor data SLAs
- Orchestrate data workflows
- Perform data transformation and storage
- Track data lineage
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Apache Kafka | Apache Spark | Azure | CI/CD | DBT | Data Governance | Data Lineage | Data Management | Data Quality | Data Warehousing | Databricks | Generative AI | Language Models | Large Language Models | MLOps | Machine Learning | Master Data | Master Data Management | Python | Retrieval-Augmented Generation | SQL | Snowflake
Education
N/A
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