
Chief Data Architect
2 days ago
Job Overview:
We are seeking an accomplished Data Systems Architect to join our Analytics Engineering team.
The ideal candidate will collaborate with teams across the globe to design and build large-scale, real-time stream & batch data processing systems, as well as develop and run analytics SaaS solutions.
Key Responsibilities:
- Closely collaborate with engineering teams and product management in a fast-paced environment.
- Design and build large-scale, real-time stream & batch data processing systems.
- Develop and run analytics SaaS solutions.
- Write unit and end-to-end tests for any code developed.
- Ensure scalability, high availability, and data security for services.
- Mentor other developers in best practices.
Requirements:
- 5+ years of working experience.
- Proven record building ETL and analytics applications.
- Excellent programming skills in Python, Java or similar languages.
- 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 pivot to new technologies and frameworks.
- Strong communication, teamwork, and problem-solving skills.
- Eagerness to learn new things and cutting-edge technologies.
Nice to Have:
- Experience with modern big data stacks (e.g. Kinesis, Flink).
- Familiarity with serverless architecture and systems (AWS Lambda, GCP Cloud Functions).
What We Offer:
- A competitive salary and comprehensive benefits package.
- Opportunities for continuous career growth and development.
- Exposure to cutting-edge technologies and advanced cybersecurity practices.
- A dynamic, enjoyable work environment that recognizes exceptional work.
- Straightforward policies.
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