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 solid 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.

📌 Senior Solution Architect - Data & AI (India)
🏢 Shimento
📍 India