# Solutions Architect (Genie)

**Company**: Databricks
**Location**: Bengaluru, India; Delhi, India; India; Mumbai, India
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8657549002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4063e7e8-3ba

## Description

Mission

The Solutions Architect (Genie) team executes on Databricks' strategic Product Operating Model, providing enhanced focus on earlier stage, highly prioritized product lines to establish product market fit and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, covering a specific, local region.

Impact

- 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.

Competencies & Responsibilities

- 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 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 modeling, natural-language analytics, and streaming.

- Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.

## Skills

### Required
- SQL
- Python
- Data Engineering
- Data Warehousing
- Business Intelligence
- AI
- ML
- Governance
- Semantic Modeling
- Natural-Language Analytics
- Streaming
- Cloud Computing (AWS, Azure, GCP)

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