Senior Manager/Lead Systems & Data Architect
Tasks
- Adopt Infrastructure-as-Code
- Advise engineering leadership and stakeholders
- Communicate architectural concepts
- Define data ingestion and transformation standards
- Define data platform architecture
- Define observability standards
- Design AI ML and LLM data foundation
- Design feature stores
- Design ingestion transformation and serving layers
- Design security "by-design" patterns
- Design vector storage
- Drive architecture decisions
- Enable real-time data access
- Establish data governance and lineage
- Implement CI/CD pipelines
- Implement access control frameworks
- Lead DevOps adoption for data platforms
- Modernize data platform
- Optimize Snowflake and Databricks cost
- Optimize Snowflake and Databricks performance
- Own data architecture roadmap
- Plan disaster recovery
- Provide technical mentorship
- Translate AI trends into architectures
Perks/Benefits
- 401k match
- Commuter benefits
- ESPP
- Emergency backup care
- Employee assistance program
- Employee coaching
- Family-forming benefits
- Flexible spending account
- Health savings account
- Legal services
- Paid parental and pregnancy leave
- Paid sick leave
- Paid time off
- Perks and discounts program
- Referral bonus program
- Student Loan Refinancing Assistance
Skills/Tech-stack
AWS | Amazon Kinesis | Apache Airflow | Apache Spark | Azure | CI/CD | Cloud platform | DBT | Data Catalog | Data Compliance | Data Governance | Data Lineage | Data Modeling | Data Privacy | Data mesh | Databricks | DevOps | Disaster Recovery | Feature Store | Google Cloud | Google Cloud Platform | Google Pub/Sub | Infrastructure as Code | Kafka | Lakehouse | Metadata Management | Observability | Pub/Sub | Python | Query Optimization | RAG | Retrieval-Augmented Generation | SQL | Snowflake | Storage Optimization | Terraform | Vector Database | “as-code”
Education
N/A
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