
Lead Data Architect
2 days ago
Our organization seeks an exceptional Data Architect to spearhead the development and maintenance of cutting-edge data solutions.
The ideal candidate will possess a strong background in software engineering, with expertise in designing and implementing complex data systems from scratch.
Key responsibilities include:
- Designing, building, and scaling high-performance data pipelines using scalable, reliable, and fast methodologies.
- Leveraging large language models (LLMs), retrieval-augmented generation (RAG) frameworks, and other AI technologies to drive business objectives.
- Collaborating with stakeholders to transform use cases into production-ready services and solutions.
- Mentoring junior team members to foster a culture of excellence and continuous learning.
Requirements:
- Bachelor's degree or higher in Computer Science, Math, Physics, Engineering, or related field.
- 5–7 years of total professional experience, with 3–5 years in Data Engineering or related discipline.
- Proficiency in Python, SQL, and Databricks/PySpark for data warehousing and transformation.
- Hands-on experience with workflow orchestration tools like Airflow, Temporal.
- Strong communication skills, both written and verbal.
Benefits:
- Opportunity to work with cutting-edge technologies and contribute to innovative projects.
- A dynamic work environment with opportunities for growth and professional development.
- A competitive compensation package, including benefits and perks.
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