About Kagool

We are a fast-growing IT consultancy specialising in the transformation of complex Global enterprises. We are looking for passionate and hardworking individuals to help deliver for our global customer base. We embrace the opportunities of the future and work proactively to make good use of technology. As you can imagine, this means that we have a vibrant and diverse mix of skills and people making Kagool a great place to work The Role

We are looking for a senior Solutions Architect – Data & AI to shape and lead the architecture of enterprise data and AI platforms across multiple client engagements. You will bring deep expertise in Azure and Databricks, working exposure to AWS and GCP, and the confidence to own client conversations from pre-sales through delivery. You will work closely with our sales, delivery and practice teams, and with counterparts at Microsoft, Databricks and other partners, to design solutions that win and deliver.

Key Responsibilities

Solutioning & Architecture

- Own end-to-end solution architecture for data and AI engagements across multiple concurrent projects – lakehouse, data platform modernisation, analytics and Generative AI.
- Design scalable, secure and cost-efficient architectures on Azure and Databricks (Delta Lake, Unity Catalog, Lakeflow/Delta Live Tables, Databricks SQL, Mosaic AI), integrated with Azure Data Lake Storage, Azure Data Factory, Microsoft Fabric, Power BI and Azure AI services.
- Define reference architectures, data governance, security and FinOps patterns, and reusable accelerators for the practice.
- Provide architectural guidance on multi-cloud and hybrid scenarios involving AWS and GCP.
- Guide delivery teams through design reviews,



technical decisions and quality assurance to ensure solutions are implemented as architected.

Pre-Sales & RFP Support

- Lead the technical response to RFPs/RFIs – solution design, architecture diagrams, effort estimates, assumptions, risks and commercial inputs.
- Run discovery workshops, technical presentations, demos and proofs of concept with prospective clients.
- Partner with sales and account teams to shape deals, define scope and articulate Kagool's value proposition.
- Engage with counterparts at Microsoft, Databricks and other technology partners on joint solutioning, funding programmes and co-sell opportunities.

Client Leadership & Engagement

- Act as the trusted technical advisor to client stakeholders, from engineering leads to CXOs.
- Take ownership of engagements – drive direction, manage technical risks and steer projects to successful outcomes.
- Communicate clearly and confidently with internal and external teams, translating business needs into technical solutions and vice versa.
- Mentor architects and engineers and contribute to the growth of Kagool's Data & AI practice.

Must-Have Experience

- 10+ years in data, analytics and AI, including 5+ years in a solution or enterprise architect role.
- Deep, hands-on expertise in Azure data and AI services and the Databricks Data Intelligence Platform,



with multiple large-scale implementations delivered.
- Working exposure to AWS and GCP data and AI services, with the ability to architect across clouds.
- Strong grounding in lakehouse architecture, data modelling, data engineering, data governance and security, and MLOps/LLMOps.
- Experience designing Generative AI solutions (e.g. Azure OpenAI / Azure AI Foundry, RAG, agentic patterns).
- Proven pre-sales track record – RFP responses, solution proposals, estimations and client presentations.
- Excellent communication and stakeholder management skills, with a proven ability to lead and drive engagements independently.
- Experience working with hyperscaler and ISV partner teams (Microsoft, Databricks or similar).
- Available to join immediately or within 15 days.

Mandatory Certifications

- Microsoft Certified: Azure Solutions Architect Expert
- Databricks Certified Data Engineer Qualified

Good to Have

- Microsoft Certified: Fabric Data Engineer Associate / Fabric Analytics Engineer Associate, or Azure AI Engineer Associate
- Databricks Certified Generative AI Engineer Associate
- AWS Certified Solutions Architect – Professional or Google Cloud Professional Cloud Architect
- Experience integrating SAP data with Azure and Databricks
- Exposure to consulting or professional services environments

Career at Kagool A career at Kagool will give you a path towards progression and opportunities, with the current rate of growth we at Kagool have dedicated time towards individual growth, recognizing individual contributions, filling the team with a strong sense of purpose along with providing a fun, flexible and friendly work environment.

📌 Solutions Architect - Data & AI (India)
🏢 Kagool
📍 India