
Senior Data Engineer
1 week ago
Data Architect
Role Description:We are seeking a seasoned data professional to design and implement scalable, future-proof solutions for our clients.
Clients seek innovative ways to structure their data efficiently across various sources, enabling AI-driven solutions. Our ideal candidate has expertise in modern data platforms, cloud architecture, and AI/ML technologies.
The successful candidate will lead the development of end-to-end architectures covering ingestion, storage, processing, analytics, ML/AI, and visualization.
This role requires strong leadership skills to provide technical guidance to engineering teams and work closely with client stakeholders.
- Engage with clients to understand business goals and technical constraints.
- Design and deliver scalable solution blueprints across data, analytics, AI, and cloud.
- Ensure designs meet security, compliance, and governance requirements.
Key Responsibilities:
- Translate client requirements into actionable technical plans.
- Collaborate with data scientists to operationalize AI models using MLOps best practices.
- Evaluate LLM integration, vector databases, and AI agents within enterprise architectures.
Technical Requirements:
- 10+ years of experience in data engineering, data architecture, or solution architecture roles.
- Hands-on expertise in cloud platforms (AWS, GCP, Azure) and infrastructure-as-code tools.
- Strong knowledge of data modeling, SQL/NoSQL databases, streaming technology, and data governance frameworks.
- Familiarity with AI/ML architectures, MLOps tools, and Gen AI frameworks.
Benefits:
- Opportunity to work on cutting-edge AI and data projects.
- Fast-paced, innovation-driven culture.
- Flexible work environment.
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