Director of Engineering (Data & Analytics)
New York, NY, United States
USD 148K-180K (estimate) Executive-level Full Time
Tasks
- Build and lead engineering teams
- Champion agile methodologies
- Coordinate training and technical excellence
- Design and develop scalable data platforms
- Develop AI/ML products
- Drive adoption of machine learning algorithms
- Ensure security and regulatory compliance
- Establish engineering performance metrics
- Execute technology and engineering roadmap
- Implement CI/CD best practices
- Implement observability and incident response
- Improve engineering best practices and processes
- Lead technology discussions with leadership
- Manage budgets and optimize cost efficiency
- Oversee requirements gathering and technical specifications
- Partner with product data science sales and IT
- Provide mentorship on software development lifecycle
- Support presales solutions engineering
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Airflow | Apache Iceberg | ArgoCD | Asyncio | Azure | Bedrock | CI/CD | CloudFront | CloudWatch | Cognito | DBT | Data Governance | Data Modeling | Django | Docker | DynamoDB | EC2 | ECS | EFS | ELB | ElastiCache | FastAPI | Flask | GCP | GitHub Actions | Grafana | Helm | IaaS | Jaeger | Jenkins | Kafka | Kubernetes | Lambda | Loki | MongoDB | MySQL | Next.js | Node.js | NumPy | OpenSearch | OpenTelemetry | PaaS | Pandas | PostgreSQL | Presto | Prometheus | PySpark | Python | RDS | RabbitMQ | React | Redis | S3 | SES | SQS | SaaS | Secrets Manager | Shield | Snowflake | Spark | Trino | TypeScript | Vault | Xray
Education
Regions
Countries
States
Cities
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