
Lead Data Architect
2 weeks ago
This role involves collaborating with teams across the globe to design and build large-scale data processing systems, services, and analytics solutions.
Key Responsibilities:
- Closely collaborate with engineering teams and product management in an agile environment.
- Design and develop real-time stream and batch data processing systems.
- Develop and run services and analytics SaaS solutions.
- Write unit and end-to-end tests for developed code.
- Ensure scalability, high availability, and data security for services.
- Mentor other developers in best practices.
Requirements:
- 5+ years of working experience.
- Proven record of building ETL and analytics applications.
- Excellent programming skills in Python, Java, or similar technologies.
- Experience with SQL and NoSQL databases, as well as REST APIs.
- Experience in modeling data warehouses in BigQuery/RedShift.
- Experience working with DBT or Dataform for building pipelines.
- Experience building and embedding dashboards.
- Understanding of distributed systems and streaming concepts.
- Capacity to adapt to new languages and frameworks.
- Strong communication, teamwork, and problem-solving skills.
- Eagerness to learn new technologies.
Preferred Qualifications:
- Experience with modern big data stacks (e.g., Kinesis, Flink, BigQuery).
- Familiarity with serverless architecture and systems (AWS Lambda, GCP Cloud Functions).
- Working history with AWS and GCP, serverless architecture.
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