Senior Solution Architect Data & AI | Databricks

Senior Solution Architect Data & AI | Databricks Location: Hyderabad Work 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 architecture. The ideal candidate should have enterprise architecture experience along with a Databricks Champion, FDE, Field Engineer, or similar customer-facing technical background. Key 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 practices.Architecture Governance Define and evolve enterprise Data & AI architecture principles, standards, reference patterns, and decision frameworks, including Architecture Decision Records and architecture review processes.Responsible AI Establish and drive Responsible AI practices covering model fairness, bias detection, explainability, risk assessment, and alignment with AI governance frameworks.FinOps / Cost Governance Own continuous cost optimization and FinOps practices for data and AI platforms, ensuring sustainable unit economics and right-sizing of workloads.Required Qualifications 13+ years of overall technology experience with 78+ 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 planningPreferred 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. .