Solutions Architect
Databricks
8 - 10 years
Mumbai
Posted: 05/06/2025
Job Description
FEQ226R103
As a Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems.
The impact you will have:
- You will be a Big Data Analytics expert on aspects of architecture and design
- Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem
- Support your customers by authoring reference architectures, how-tos, and demo applications
- Integrate Databricks with 3rd-party applications to support customer architectures
- Engage with the technical community by leading workshops, seminars and meet-ups
- Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value
What we look for:
- Strong consulting / customer facing experience , working with external clients across a variety of industry markets
- Core strength in either data engineering or data science technologies
- 8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding
- 8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP)
- 6+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
- Coding experience in Python, R, Java, Apache Spark™ or Scala
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
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, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks 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.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About Company
Databricks is a leading data and AI company headquartered in San Francisco, founded in 2013 by the original creators of Apache Spark™, Delta Lake, and MLflow. The company pioneered the Lakehouse architecture, which combines the best features of data warehouses and data lakes into a unified platform, enabling organizations to manage and analyze both structured and unstructured data efficiently. With its Data Intelligence Platform, Databricks empowers over 10,000 organizations worldwide—including more than 60% of the Fortune 500—to unify their data, analytics, and AI workloads. The platform supports various applications, from data engineering and collaborative data science to full-lifecycle machine learning and business analytics.
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