Databricks: Solutions Architect — Bengaluru, India
Databricks lists a Solutions Architect opening in Bengaluru, India. The job description covers Python, Java, SQL, AWS, Azure, Google Cloud, Excel.
Recruitment overview
| Organisation | Databricks |
|---|---|
| Post / role | Solutions Architect |
| Department | Field Engineering - Other |
| Employment type | Not specified |
| Notification / job ID | 8795446002 |
| Job location | Bengaluru, India |
| Work arrangement | Not specified |
| Educational qualification | See the employer’s role-specific qualification criteria |
| Experience required | 12+ years in data engineering, data science, technical architecture, or a similar pre-sales / consulting role |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
About Databricks
Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.
The position and its setting
Databricks lists Solutions Architect in Bengaluru, India, under reference 8795446002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.
- Department: Field Engineering - Other
- Employer listing date: 16 September 2026
Responsibilities and work described
- Partner with the sales team and provide hands-on technical leadership to help large enterprise customers understand how Databricks can help solve their business problems across the full data and AI lifecycle
- Consult on modern Lakehouse architectures and implement proofs of concept for strategic projects spanning data engineering, data warehousing, machine learning, GenAI— including validating integrations with cloud services, in-house tools, and third-party applications
- Work: directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks
- Collaboration: across regions with fellow Solutions Architects and account teams, supporting our customers with consistent architectural guidance across their international footprint
- Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Unity Catalog) across the developer community
Essential requirements and candidate background
- 12+ years in data engineering, data science, technical architecture, or a similar pre-sales / consulting role
- 8+ years hands-on experience with Big Data and AI technologies, including Apache Spark™, data engineering, data science, and modern AI/ML workloads
- Hands-on architectural experience — able to whiteboard, design, and personally build end-to-end solutions, not just advise
- Experience working with digital-native or SaaS enterprises with mature data and AI practices is a plus
- Consulting / customer-facing experience working with external clients across a variety of industries
- Coding experience in Python, SQL, Scala, Java, or R
- Experience building distributed data systems at enterprise scale
- Experience: at least one major public cloud (AWS, Azure, or GCP)
- Available to travel to customers in your region and occasionally internationally
- Databricks Certification
Preferred experience and additional strengths
- Demonstrated experience working with large enterprise or Fortune 500 customers; experience supporting global accounts across multiple geographies strongly preferred
- Nice to have: prior experience working in or with a Global Capability Center model
Location, schedule and contract conditions
- Advertised location: Bengaluru, India
Benefits mentioned by the employer
- At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
- For specific details on the benefits offered in your region click here
Conditions requiring the complete notice
Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another Solutions Architect vacancy is not an offer for reference 8795446002; use the employer’s own pay disclosure and recruitment communication.
A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.
How to apply to Databricks
Applications follow the official employer page linked below.
Open the official Databricks posting below and match the title and reference 8795446002.
Compare your qualifications and experience with the essential conditions for the Bengaluru, India position, then read the preferred criteria separately.
Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.
Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.
Practical preparation: Python
Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.
Relevant skills
- Python
- Java
- SQL
- Spark
- AWS
- GCP
- Azure
- AI/ML
- Google Cloud
- Excel
- machine learning
Important links
| Official notification / job description | Open official page |
|---|
Read the complete official notice before applying. Availability and requirements can change.
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