Senior Data Solutions Architect (AWS, Big Data, Data Engineering)
Auburn Hills, MI, United States
USD 134K-200K (estimate) Senior-level Full Time
Tasks
- Build data ingestion transformation pipelines
- Create documentation and runbooks
- Define architecture standards and best practices
- Design data products and platforms
- Design secure scalable data services
- Drive continuous improvement
- Drive cross-functional architectural alignment
- Ensure performance, reliability, scalability, security
- Evaluate technology options
- Implement distributed data processing
- Implement real-time and batch processing
- Lead data solution architecture
- Lead implementation to production deployment
- Mentor engineers
- Monitor data platform health and readiness
- Partner with product engineering analytics and business teams
- Provide technical direction across teams
- Set data quality standards and validation
- Translate technical concepts into business outcomes
- Troubleshoot data platform issues
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Amazon Kinesis | Amazon SNS | Amazon SQS | Apache Airflow | Apache Spark | Azure Data | Azure Data Factory | Batch Processing | Data Architecture | Data Factory | Data Management | Data Modeling | Data Processing | Data Quality | Data Validation | Distributed Systems | ELT | ETL | Event Streaming | Infrastructure as Code | Java | Master Data | Master Data Management | Monitoring | Observability | Python | Real Time | Real-time Data | Real-time Data Processing | Terraform | “as-code”
Education
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