Lead Databricks Architect
Tasks
- Analyze structured and semi-structured datasets
- Architect data platforms and data pipelines
- Architect machine learning models for prediction and optimization
- Communicate architecture insights and recommendations to stakeholders
- Define Databricks data architecture propositions frameworks and methodologies
- Develop reusable notebooks scripts and pipelines
- Establish Databricks community of practice
- Guide teams on Databricks services and data architecture approaches
- Lead Databricks architecture teams
- Manage Databricks vendor relationship
- Mentor Databricks data architects
- Support monitoring and continuous improvement
- Translate business problems into analytical tasks
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Apache Spark | Classification | Clustering | Data Architecture | Data Modeling | Data Pipelines | Data Taxonomy | Data ontology | Databricks | ETL | Explainable AI | Forecasting | Generative AI | Knowledge graphs | Language Models | Large Language Models | Machine Learning | Optimization | Predictive Analytics | Python | Recommendation Systems | SQL
Education
N/A
Roles
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