Databricks

✓ Verified Sponsor

Solutions Architect (Genie)

🗓️ Posted 2026-09-04 Bengaluru, India; Delhi, India; India; Mumbai, India Hybrid ICT

Company shared salary

Market rate

₹450,000–₹850,000/mo (₹5,400,000–₹10,200,000/yr)

Based on similar roles (title + domain + location).

● Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
● Serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision.
● Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
● Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
● Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

● 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
● Credibility in influencing analytics, BI, and natural-language / agentic AI products, with the market insight needed to shape and prioritize roadmap capabilities.
● Deep understanding of AI governance across different tools and models and ability to guide customers through security blockers and concerns.
● Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
● Experience architecting governed analytics solutions that integrate semantic models, data warehouses, and metric layers within broader Lakehouse and AI ecosystems.
● Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.
● Proficient in programming, debugging, and problem-solving using SQL and Python.
● Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
● Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, business intelligence, AI, ML, governance, semantic model.