
Chief Data Architect
1 week ago
About this role:
You will play a key technical leadership role as a Senior Data Engineer, driving development efforts and acting as a bridge between engineering teams and business partners.
Key responsibilities include:
- Contributing high-quality, scalable, and maintainable code across data pipelines, APIs, and platform components.
- Owning communication of project deliverables, timelines, and risks to internal and external stakeholders.
- Understanding customer needs and translating them into technical solutions, partnering closely with product, analytics, and engineering teams.
- Designing and delivering robust and future-proof data architectures that support analytics, APIs, and machine learning initiatives.
SUCCESS FACTORS:
- Effective communication with both technical and non-technical audiences.
- Experience tracking and clearly reporting project progress to internal stakeholders and external partners.
- Technical depth to personally contribute to codebases and architecture discussions.
- A proactive and collaborative mindset focused on transparency, stakeholder engagement, and shared ownership of outcomes.
About you:
We are looking for someone with:
- 10-20 years of experience in data engineering.
- Advanced skills in Python and/or Golang, SQL, and current cloud data platforms.
- Strong experience in communicating complex project plans and deliverables to technical and business audiences.
- Track record of developing and operating scalable data pipelines, APIs, and data platform components.
Highly favorable skills include:
- Exceptional communication skills with the ability to articulate technical ideas.
- Ability to distill complex data and architecture challenges into simple plans.
- Experience in client-facing roles, technical consulting, or enterprise delivery where direct communication with business partners was essential.
Key Skills:
- Python and/or Golang programming skills.
- SQL skills.
- Cloud data platforms skills.
Desirable Skills:
- Communication and presentation skills.
- Data modeling and architecture skills.
- DevOps and automation skills.
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