Principal Data AI Engineer

Role Overview :

As an Architect, you will play a key role in designing, implementing, and optimizing large-scale data architectures. You will lead enterprise-scale data projects, drive best practices, and enable organizations to migrate from legacy platforms (Teradata, Cloudera, Informatica) to modern cloud and AI-driven ecosystems.

Key Responsibilities :

- Lead end-to-end data modernization and AI-driven transformation projects.

- Design and deploy high-performance cloud data architectures.

- Provide technical leadership for teams delivering scalable solutions.

- Develop reusable frameworks, accelerators, and best practices.

- Engage with stakeholders, scope solutions, and drive pre-sales and delivery excellence.

What We're Looking For :

- 15+ years of experience in data architecture, cloud platforms, and AI solutions.

- Expertise in AWS, Azure, or GCP, with deep knowledge of Databrick.

- Strong understanding of data engineering, governance, and MLOps.

- Experience in migrating applications from legacy data platforms to the cloud.

- Proven ability to design and implement scalable, high-performance data solutions.

- Prior experience in consulting, pre-sales, or solution architecture is a plus.

Why Join Us :

- Work on cutting-edge Data & AI projects for leading global enterprises.

- Be part of a rapidly growing and highly skilled Data & AI practice.

- Competitive salary + bonuses, benefits, and career growth opportunities.

- Hybrid work environment with flexibility and autonomy.

- Get trained & certified in Databricks and adjacent technologies.!