Data Engineering Enterprise Architect

Job description

**Job Requirements** We're seeking a highly motivated and experienced Enterprise Data Engineering Architect, possessing a blend of technical expertise, architectural vision and leadership skills, to lead delivery of robust data platform solutions for our diverse portfolio of clients. **Roles and Responsibilities.** - Develop and maintain client-specific data ,AI strategies, architectures, and roadmaps aligned with their business objectives. - Design and architect scalable, reliable, and secure data solutions, including data lakes, data warehouses, and real-time data pipelines, tailored to client needs. - Contribute to pre-sales activities, including solution design and proposal development. - Lead the evaluation and selection of data engineering tools and technologies, including AI ,cloud-based solutions (AWS, Azure, GCP), for client projects. - Provide technical guidance and mentorship to client teams and internal data engineers. - Stay up-to-date with the latest trends and technologies in AI ,data engineering and big data. **Work Experience** - Must have core technical skills in - Data Architecture & Design - AI ,LLM and Agentic skills - Building ETL/ELT workflows optimized for AI workloads - Big Data & Distributed Computing - Databases & Storage Systems - Data Integration Technologies - Cloud & On-Premise Data Platforms - Also expected to be familiar with advanced data engineering concepts like - Real-time and Streaming Architectures - Data Governance & Security - Data Quality & Observability - AI/ML relevant Data Engineering - Understanding LLMs (e.g., GPT, BERT) and their integration into enterprise workflows - Experience with cloud-based data platforms (AWS, Azure, GCP)