Data Systems Architect
1 week ago
This is a key leadership role that requires hands-on technical expertise and strong communication skills to design, develop, and deliver enterprise-grade data systems. The ideal candidate will serve as a bridge between engineering teams and business partners.
- Contribute high-quality code across data pipelines, APIs, and platform components.
- Communicate project timelines, risks, and deliverables to internal and external stakeholders.
For success in this role, you must:
- Effectively communicate with both technical and non-technical audiences.
- Experience tracking and reporting project progress.
Key qualifications include:
- Advanced skills in Python, Golang, SQL, and cloud data platforms.
- Strong experience in communicating complex project plans and deliverables.
- Track record of developing scalable data pipelines and APIs.
Requirements
Technical Skills:
- Expertise in batch and real-time data architectures, data modeling, and data warehousing.
Skills and Qualifications:
- 10-20 years of development experience in data engineering.
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