// Please update the title as approved by the Hiring Manager
Tasks
- Architect data integrations and APIs
- Build ETL/ELT pipelines
- Create reusable integration patterns
- Define API contracts
- Define enterprise data architecture strategy
- Design REST APIs and data schemas
- Drive data governance, security, and compliance
- Establish data modeling standards
- Implement data quality frameworks
- Lead client architecture discussions
- Lead cloud data warehousing and lakehouse design
- Provide technical advisory to clients
- Support pre-sales and RFP responses
- Translate business and regulatory requirements into designs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Airflow | Apache Flink | Apache Spark | Azure | Cloud Data | Cloud Native | Cloud Native Services | Cloud data warehousing | Cloud platform | Compliance | DBT | Data Architecture | Data Governance | Data Lineage | Data Modeling | Data Processing | Data Testing | Data Warehousing | Data orchestration | Databricks | Document extraction | ELT | ETL | Embedding Infrastructure | Google Cloud | Google Cloud Platform | GraphQL | Kafka | LLM | Lakehouse | Monitoring | Native services | Networking | PDF Processing | Pipeline observability | RAG | REST APIs | Security | Snowflake | Unstructured Data | Unstructured Data Processing | Vector Databases
Education
N/A
Roles
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