Solutions Architect
Databricks3 months ago
Pune, IndiaStaff+
Responsibilities
- Serve as a trusted technical advisor to named strategic accounts and build relationships with data, AI/ML, and platform engineering leaders.
- Partner with customer data science, machine learning, and AI platform teams to design GenAI and ML architectures and turn AI initiatives into production systems.
- Provide hands-on technical leadership with sales teams to demonstrate how Databricks addresses enterprise data and AI needs.
- Consult on Lakehouse architectures and implement proofs of concept across data engineering, data warehousing, machine learning, and GenAI.
- Validate integrations with cloud services, in-house tools, and third-party applications.
- Develop account strategies and a book of business with sales teams to address customer and prospect needs.
- Collaborate across regions with Solutions Architects and account teams to provide consistent architectural guidance.
- Work with product and engineering teams to help advance the Databricks roadmap.
- Promote Databricks-inspired open-source projects and recruit contributors within the developer community.
Requirements
- 12+ years of experience in data engineering, data science, technical architecture, or a similar pre-sales or consulting role.
- 8+ years of hands-on experience with big data and AI technologies, including Apache Spark, data engineering, data science, and modern AI/ML workloads.
- Strong hands-on architecture skills, including the ability to whiteboard, design, and personally build end-to-end solutions.
- Experience working with large enterprise or Fortune 500 customers; global account experience across multiple geographies is strongly preferred.
- Experience with digital-native or SaaS enterprises with mature data and AI practices is a strong plus.
- Strong consulting and customer-facing experience with external clients across multiple industries.
- Coding experience in Python, SQL, Scala, Java, or R.
- Experience building distributed data systems at enterprise scale.
- Hands-on experience with at least one major public cloud: AWS, Azure, or GCP.
- Databricks Certification is a nice-to-have qualification.
- Availability to travel to customers regionally and occasionally internationally.
Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
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.