Lead Data Architect
Tasks
- Define end to end architectural vision for AI native data foundations
- Design and evolve AI native semantic layer
- Drive architectural decisions for speed governance reusability and cost efficiency
- Enable agentic and self service analytics
- Ensure hybrid cloud native AI ready privacy preserving scalable platform
- Establish standards for data quality metadata lineage observability governance
- Guide platform evolution for ingestion ETL ELT scalable data models metric catalogs presentation layers
- Identify patterns across data quality usage performance and analytics friction
- Lead consolidation of disparate data sources into a unified governed data layer
- Lead structured discovery to align questions metrics data models semantic models and AI ready products
- Mentor senior engineers and architects
- Operationalize AI data scientist capabilities
- Own long term architectural coherence across data AI and analytics layers
- Translate business needs into durable data and semantic architectures
Perks/Benefits
- 401k
- Dental insurance
- FSA
- HSA
- Life insurance
- Medical insurance
- Paid time off
- Vision insurance
- Wellness program
Skills/Tech-stack
AI metadata | Cloud Data | Cloud Data Platforms | Data Architecture | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Warehouse | Data platforms | ELT | ETL | LLM | Language Processing | Machine Learning | Metadata Management | Metric Catalog | Natural Language | Natural Language Processing | Privacy Preserving Data | Privacy-preserving | Responsible AI | Semantic layer | Streaming Data
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Architect | Data Architect | Lead | Lead Data | Lead Data Architect
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