Lead Data Architect
Tasks
- Advise executives on modernization strategy
- Architect data platform modernization
- Build data serving layers for analytics and AI
- Collaborate with data science and MLOps teams
- Create ingestion and transformation pipelines
- Define end to end data modeling strategy
- Define enterprise data standards
- Design enterprise data ecosystems
- Design semantic layers and metadata systems
- Develop reusable architectural patterns and playbooks
- Drive platform engineering decisions
- Enforce data governance and quality frameworks
- Ensure cybersecurity and compliance alignment
- Lead platform technology selection and adoption
- Mentor data engineers and architects
- Oversee architectural governance and design reviews
- Perform cloud readiness assessments
- Stay current with emerging data architecture trends
- Translate business needs into data architecture roadmaps
Perks/Benefits
Skills/Tech-stack
Apache Flink | Apache Kafka | Apache Spark | CDC | Canonical Data | Canonical Data Models | Cloud Orchestration | Cloud Security | Compliance | Compute Orchestration | Containerization | Cost Performance | Cost-performance optimization | Data Architecture | Data Catalog | Data Contracts | Data Governance | Data Ingestion | Data Lineage | Data Modeling | Data Privacy | Data Processing | Data Quality | Data Transformation | Data Zoning | Data fabric | Data mesh | Data models | Distributed data | Distributed data processing | Domain-Driven Design | Event Driven | Event-driven architecture | Lakehouse | MDM | Metadata Management | Network design | Observability | Performance optimization | Python | SQL | Schema evolution | Semantic layer | Serverless | Storage Optimization | Virtualization | Zero Trust
Education
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