Data & AI – Senior Solutions Architect
Location: Bengaluru / Remote
Experience: 7+ Years
Company: CloudThat
About the Role
CloudThat is looking for an experienced Data & AI Senior Solutions Architect to design and deliver modern Data, Analytics, AI, and Generative AI solutions for global customers. The ideal candidate should possess strong expertise in cloud platforms, data engineering, analytics, machine learning, and customer-facing solution architecture.
Key Responsibilities
- Engage with customers to understand business challenges and propose Data & AI solutions.
- Design scalable and secure data platforms on cloud environments.
- Architect Data Lakes, Data Warehouses, Real-Time Analytics, and AI/ML solutions.
- Lead solution design workshops, technical discussions, and proposal creation.
- Support pre-sales activities including solution presentations, demos, and effort estimations.
- Define data governance, security, and compliance frameworks.
- Collaborate with delivery teams to ensure successful project implementation.
- Stay updated on emerging AI, GenAI, Data Engineering, and Analytics technologies.
Required Skills
- Strong experience in Data Engineering, Data Analytics, and AI/ML solutions.
- Hands-on expertise in at least one major cloud platform: Azure, AWS, or GCP.
- Experience with Data Lakes, Data Warehouses, ETL/ELT pipelines, and Big Data technologies.
- Knowledge of Generative AI, LLMs, RAG architectures, AI Agents, and MLOps.
- Experience with tools such as Databricks, Snowflake, Synapse, BigQuery, Redshift, or equivalent.
- Strong understanding of data governance, security, and architecture best practices.
- Excellent customer-facing, consulting, and presentation skills.
Preferred Qualifications
- Cloud certifications (AWS, Azure, or GCP).
- AI/ML or Data Engineering certifications.
- Experience in pre-sales, solution consulting, or enterprise architecture roles.
Why Join CloudThat
- Work on cutting-edge Data, AI, and Generative AI projects.
- Collaborate with global customers across industries.
- Opportunity to lead enterprise-scale cloud transformation initiatives.
- Continuous learning and certification support.
