Senior Solution Architect - Data & AI in Hyderabad, भारत

Role : Senior Solution Architect - Data & AI | DatabricksLocation : HyderabadWork Mode : Hybrid (3 days onsite in a week)Role Summary : We are looking for a Senior Solution Architect - Data & AI with strong expertise in Databricks, Data Engineering, AI/ML, and cloud https://jobeax.com/link/Pzk6EX8UzmbZMhfb ideal candidate should have enterprise architecture experience along with a Databricks Champion, FDE, Field Engineer, or similar customer-facing technical https://jobeax.com/link/CeEaUMbbt8M3lyVN Responsibilities : - Design end-to-end Data & AI architectures across AWS, Azure, and/or GCP.- Lead architecture for Databricks, Lakehouse, Data Engineering, ML/AI, and analytics solutions.- Develop reference architectures, solution blueprints, PoCs, and architecture decision documents.- Partner with customers, business stakeholders, data scientists, and engineering teams to translate business needs into scalable solutions.- Drive ML/AI lifecycle, MLOps, data governance, security, observability, and platform reliability.- Lead technical workshops, solution presentations, PoCs, and pre-sales activities.- Mentor engineering and architecture teams on modern Data & AI https://jobeax.com/link/4bbHIFJl5CoHz9q3 Governance : - Define and evolve enterprise Data & AI architecture principles, standards, reference patterns, and decision frameworks, including Architecture Decision Records and architecture review https://jobeax.com/link/reRZWApNG6aDbVDp AI : - Establish and drive Responsible AI practices covering model fairness, bias detection, explainability, risk assessment, and alignment with AI governance https://jobeax.com/link/7o1ej3Rp4k8aiWuY / Cost Governance : - Own continuous cost optimization and FinOps practices for data and AI platforms, ensuring sustainable unit economics and right-sizing of https://jobeax.com/link/jxoqTsknnvMnKMwn Qualifications : - 10+ years of overall technology experience with 7 - 8+ years in Solution/Enterprise Architecture or technical leadership.- Strong experience with Databricks, Data Engineering, Lakehouse, Spark, Delta Lake, and ML/AI platforms.- Strong knowledge of Python/Scala/Java and SQL.- Experience with AWS/Azure/GCP and modern data technologies such as Kafka, Airflow, dbt, and MLflow.- Strong understanding of Generative AI, RAG, LLMs, MLOps, and AI governance.- Experience as a Databricks Champion, FDE, Field Engineer, Solution Architect, or similar customer-facing technical role.- Excellent communication, stakeholder management, architecture, and technical leadership skills.- Lead and mentor the engineering teams, workforce https://jobeax.com/link/jEDZ0jJ2griotAVM : - Databricks or Cloud Architecture certifications.- Experience with Responsible AI, FinOps, data governance, and enterprise compliance.- Experience leading customer workshops, PoCs, and large-scale Data & AI transformation programs. (ref:hirist.tech)