Data Architect for AI-Driven Solutions
9 hours ago
We are seeking an experienced Data Architect to join our team at Sequantix. As a key member of our Generative AI team, you will play a critical role in designing and implementing scalable data engineering pipelines that integrate with our Llama 3-based MVP.
The successful candidate will have a strong background in solution architecture and engineering, leveraging Databricks and AWS platforms. Your expertise will be instrumental in architecting data solutions that align with our cloud infrastructure and collaborate closely with our data scientists and Generative AI engineers.
Key Responsibilities:
- Data Engineering & Architecture: Design and implement efficient data engineering pipelines in Databricks, ensuring seamless integration with our Generative AI models.
- Data Migration: Migrate large-scale transactional datasets from SQL on-premises to Databricks and AWS S3/Redshift, maintaining data quality, integrity, and security throughout the process.
- Data Integration & Optimization: Develop and optimize data pipelines for various use cases, including transactional data for cards and business banking, while collaborating with our cross-functional teams.
- Performance Tuning: Fine-tune data pipeline and model performance for real-time or batch processing, optimizing Databricks clusters for cost efficiency and speed.
Requirements:
- Technical Expertise: 5+ years of hands-on experience in Databricks and AWS platforms, including strong experience in data migration, proficiency in SQL, Python, and PySpark, and knowledge of data modeling, ETL/ELT processes, and data architecture best practices.
- Generative AI Integration: Experience working with AI/ML teams to support data needs for AI-driven applications (a plus).
- Soft Skills: Strong problem-solving and analytical skills, excellent communication, and ability to work in cross-functional teams.
Preferred Qualifications:
- Llama 3 Experience: Familiarity with Llama 3 or similar Generative AI platforms.
- AWS Native Services: Knowledge of AWS-native services for machine learning and analytics.
- CI/CD Pipelines: Experience with CI/CD pipelines for data workflows.
As a valued member of our team, you can expect a competitive salary of $150,000 - $200,000 per year, commensurate with your experience and qualifications. We offer a dynamic work environment, opportunities for growth and professional development, and a comprehensive benefits package. Join us in shaping the future of Generative AI and data engineering
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