Solutions Architect (Genie)
Databricks2 months ago
Mumbai, India +2 moreSenior
Responsibilities
- Collaborate with GTM leadership and account teams to design and execute customer engagement strategies across an assigned territory.
- Partner with Account Executives to plan and implement product-line adoption strategies across accounts.
- Serve as a trusted Solutions Architect and technical champion for Genie, influencing technical executives and driving product adoption.
- Develop and deliver presentations, demonstrations, workshops, and customer-facing technical collateral.
- Guide customers through AI governance, security blockers, and adoption concerns across tools and models.
- Architect governed analytics solutions integrating semantic models, data warehouses, and metric layers within Lakehouse and AI ecosystems.
- Act as the tier-three escalation point for complex technical challenges in mission-critical customer environments.
- Translate field-derived, data-driven insights into product roadmap recommendations for Product and Engineering teams.
- Collaborate with Global System Integrators and third-party consulting organizations to drive customer outcomes.
Requirements
- 6+ years of experience in a customer-facing pre-sales or consulting role influencing technical executives and driving data strategy or product adoption.
- Experience with analytics, business intelligence, natural-language analytics, or agentic AI products and the market insight to shape product roadmaps.
- Deep understanding of AI governance across different tools and models, including the ability to address customer security concerns.
- Experience co-planning large territories with Account Executives and coordinating across go-to-market and research and development teams.
- Experience architecting governed analytics solutions involving semantic models, data warehouses, metric layers, Lakehouse platforms, and AI ecosystems.
- Experience collaborating with Global System Integrators and third-party consulting organizations.
- Proficiency in programming, debugging, and problem-solving with SQL and Python.
- Hands-on experience building solutions in AWS, Azure, or GCP.
- Broad experience in at least two of data engineering, data warehousing, business intelligence, AI, machine learning, governance, semantic modeling, natural-language analytics, and streaming.
- Undergraduate degree or higher in Computer Science, Applied Mathematics, Engineering, or a similar technical field.
Benefits
- Databricks offers comprehensive employee benefits and perks, with region-specific details available to applicants.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.