Senior Solutions Architect (Data)

Technical Pre-sales | Chimera Technologies

The role

Do you enjoy working out what a client actually needs, exploring unfamiliar technology, and building something to test your ideas? Does talking to someone about a problem statement and solving a problem come as naturally to you as looking at code seeing what it's doing?

Chimera Technologies works with multiple Fortune 100 clients. We’re expanding our technical pre-sales team and looking for a hands-on Solutions Architect with deep data expertise, strong engineering judgment, and the curiosity to explore unfamiliar problems.

You’ll own engagements from discovery and solution design through prototypes, proposals, client walkthroughs, and delivery handover. You’ll help clients decide what to build and create PoCs to demonstrate what’s possible.

Data will be your specialism, while your engagements will span AI, applications, cloud, and automation. You’ll lead opportunities independently, supported by other solution architects with complementary expertise who help investigate unfamiliar areas and review your recommendations.

What you’ll do

- Lead client discovery. Uncover the business problem, challenge assumptions, uncover the real problems, understand constraints, and define success.

- Design and validate solutions. Research options, explain trade-offs, and build prototypes, integrations, and demonstrations at each stage to help audience relate to your ideas.

- Build AI agents. Independently develop working agents that connect models, enterprise data, and tools, with retrieval where appropriate, evaluations, access controls, failure handling, and monitoring.





- Own proposals and walkthroughs. Define the approach, scope, assumptions, risks, and delivery plan. Develop estimates with delivery colleagues and defend your recommendations with clients.

- Prepare delivery for execution. Hand over agreed requirements, design decisions, prototype assets, and commitments.

- Explore and share. Test emerging technologies and turn useful discoveries into reusable solutions and team knowledge. Talk to delivery teams and synthesise new ideas that everyone is moving torwards.

What you’ll bring

- Strong hands-on engineering: Python/Java/.NET, SQL, APIs, integrations, testing, and experience delivering working software or data systems.

- Depth in data: pipelines and orchestration; warehouses and lakehouses; data modelling and analytics; quality, lineage, metadata, governance, privacy, and access controls.

- Practical AI experience: you have built agents or LLM applications and can explain their behaviour, evaluation, limitations, and failure cases. You understand how to prepare structured and unstructured data for reliable AI use.

- System design and cloud capability: experience with AWS, Azure, or GCP, and sound judgment across security, reliability, performance, cost, CI/CD, and observability throughout the SDLC.





- Client confidence: experience leading discovery, workshops, demonstrations, or solution presentations, with transparent communication for business and engineering audiences.

- Curiosity with follow-through: you learn unfamiliar domains, test assumptions, seek specialist input, and use GenAI tools while checking their output.

Relevant platforms include Databricks, Snowflake, Microsoft Fabric, cloud-native data services, Power BI, and Tableau. Depth in a relevant stack and the ability to learn others matter more than knowing every product.

You may come from data engineering, technical consulting, solution architecture, or technical pre-sales. We value evidence of what you’ve built and the client conversations you’ve owned.

Why join and grow with us

Work directly with enterprise clients, influence solutions from the first conversation, and stay close to implementation.

As your impact grows, you’ll have opportunities to lead larger and more complex engagements, mentor other architects, and help shape Chimera’s Data & AI offerings. Depending on your strengths and aspirations, this role can develop towards broader technical leadership, practice development, or strategic client advisory responsibilities.

Our interview process

Our multi-round process covers your engineering experience, data expertise, solution design, and client communication, including a focused practical AI exercise. We assess how you reason, build, explain, and verify your work. Ability to learn and reason and explain through process are paramount.

📌 Senior Solutions Architect (Data) (India)
🏢 Chimera Technologies
📍 India