Senior Data Architect

Tasks

• Architect analytics solutions using SQL engines
• Build vector database integrations
• Define enterprise data models
• Design batch and near real time pipelines
• Design scalable Data Warehouse architecture
• Design scalable lakehouse architecture
• Develop AI powered analytics with LLMs
• Enforce data quality practices
• Ensure data compliance and governance
• Establish architecture best practices
• Implement RAG workflows
• Implement data governance frameworks
• Implement security standards
• Integrate AI ML into data platforms
• Mentor teams on data architecture
• Optimize SQL query performance
• Optimize data pipeline performance
• Translate business requirements into data products

Perks/Benefits

• Continued Career Development
• Employee resource groups
• Flexible work from home
• Internet reimbursement
• Paid time off
• Paid volunteer time
• Phone reimbursement
• Unplugged Days
• Wellness programs

Skills/Tech-stack

AI Assisted Development | Apache Spark | Artificial Intelligence | Cloudera | Compliance | Data Governance | Data Lineage | Data Modeling | Data Security | Data Warehousing | Data fabric | Data mesh | Dimensional Modeling | Distributed Systems | GitHub Copilot | HDFS | Hadoop | Hive | Impala | Kafka | Kudu | Lakehouse | Language Models | Large Language Models | Machine Learning | Metadata Management | Milvus | NLQ | Natural Language | Natural language interfaces | PostgreSQL | Python | Qdrant | Query Optimization | RAG | Retrieval-Augmented Generation | SQL | Streaming Architectures | Vector Databases