Senior solutions architect at Databricks Bengaluru, advising enterprise customers on big data architecture and the lakehouse platform.

This full-time Bengaluru role was posted on 29 August 2026. The listing describes partnering with sales to help customers solve business problems with Databricks, developing a book of business with account strategies, and consulting on big data architectures - implementing proofs of concept across data engineering, data science, machine learning and SQL workflows. Requirements include 15+ years in data engineering, data science, technical architecture or a similar pre-sales/consulting role, 10+ years with big data technologies including Apache Spark, and coding experience in Python, R, Java, Spark or Scala.

About Databricks

Databricks builds a data and AI platform around the lakehouse architecture, combining data warehousing and data lakes for analytics, data engineering and machine learning. The company was founded by the creators of Apache Spark.

Databricks has a large engineering presence in Bengaluru, with listings spanning platform engineering, monitoring and reliability, and customer-facing engineering roles. Learn more on Databricks's website.

The role in plain terms

The 15-year bar makes this one of the most senior individual SA roles in this set - the listing is looking for someone whose architecture opinions carry weight with enterprise data leaders. POC implementation is hands-on: you build the proof, not just propose it, which is why coding experience is a requirement and not a nice-to-have. Developing a book of business means commercial ownership alongside the technical work.

The team and the work

Per the listing, the role works with the sales team on account strategy and with the product team as an advocate for customers in the field.

What the employer asks for

These requirements are quoted from the employer's listing, kept in their exact words so eligibility details are not distorted:

15+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
10+ 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

Who this role suits

Very senior data architects or pre-sales engineers with 15+ years and deep Spark-era big data experience who enjoy customer-facing consulting. Not for mid-career engineers - the experience bar is explicit and high.

Practical notes

For senior SA roles, expect an end-to-end architecture scenario (design a lakehouse for a described enterprise) and POC war stories. Commercial judgment - qualifying opportunities, shaping deals - is assessed alongside technical depth.

Working at Databricks

Work at Databricks centres on large-scale data systems: query engines, orchestration, observability and the infrastructure that runs customer data and AI workloads.

How to apply

Apply directly on the employer's site: Senior Solutions Architect at Databricks. We found this listing on the Greenhouse public job board (databricks.com), where it was posted on 29 Aug 2026 and was still open when we checked on 30 Oct 2026. Before applying, re-read the employer's own description in full, since eligibility details, deadlines and process steps can change at any time and the employer's page is always the final word. Tailor your resume to the specific requirements above rather than sending a generic one: mirror the skills and tools the listing names where you genuinely have them. A short, specific note on why this team and this problem interest you goes further than a long generic cover letter. Never pay a fee to apply or interview; genuine employers, including this one, do not charge candidates.

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