Sr. Solutions Architect
Databricks
Bengaluru, IndiaPosted 1 month ago
Skill Required
Field Engineering - OtherMachine LearningEngineeringDatabricksCassandrabuildingPythonMLflowHadoopScalaSparkAzureUnityCloudJavaSQLAWSGCPAI
Key highlights
- 8+ years of experience required
- Must have coding experience in Python, R, Java, Apache Spark™, or Scala
- Must have experience with public cloud providers (AWS, Azure, or GCP)
- Travel to customers in your region required
- Comprehensive benefits package
- Databricks Certification is a plus
Role overview
As a Senior Solutions Architect, you will shape the future of the Data & AI landscape by working with sophisticated data engineering and data science teams. You will serve as a technical advisor to the sales team and advocate for customers with the product team, helping them achieve data-driven outcomes using the Databricks Lakehouse Platform. Reporting to the Field Engineering Manager, you will collaborate with strategic customers, drive the Databricks roadmap, and develop architectures and solutions while guiding customers through best practices, implementation, and the competitive landscape.
Responsibilities
- Partner with the sales team and provide technical leadership to help customers understand how Databricks can solve their business problems
- Work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help customers and prospects solve their business problems with Databricks
- Consult on Big Data architectures
- Implement proof of concepts for strategic projects, spanning data engineering, data science, machine learning, and SQL analysis workflows
- Validate integrations with cloud services, home-grown tools, and other 3rd party applications
- Collaborate with fellow Solutions Architects to support each other and users
- Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community
- Guide customers through the competitive landscape, best practices, and implementation
- Develop technical champions
Requirements
- 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
- 8+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
- Strong consulting/customer-facing experience, working with external clients across a variety of industry markets
- Coding experience in Python, R, Java, Apache Spark™, or Scala
- Experience building distributed data systems
- Have built solutions with public cloud providers such as AWS, Azure, or GCP
- Available to travel to customers in your region
Nice to have
- Databricks Certification
Benefits
- Comprehensive benefits and perks that meet the needs of all employees (region-specific details available via provided link)
Additional details
- Reporting to the Field Engineering Manager
- Databricks is the Data and AI company, serving 20,000+ organizations worldwide, including 70% of the Fortune 500
- Headquartered in San Francisco with 30+ offices globally
- Databricks offers a unified platform including Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog
- Commitment to fostering a diverse and inclusive culture with inclusive hiring practices and equal employment opportunity standards
- Individuals are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics
- If access to export-controlled technology or source code is required, Employer may apply for a U.S. government license at its discretion and may decline to proceed with an applicant on this basis