Role : 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 :

- 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 planning.

Preferred :

- 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.