Solutions Architect : Data & AI - Digital Native

FEQ425R230 As a Solutions Architect, you will be the technical cornerstone of the sales process, driving hands-on evaluations and serving as a strategic advisor to both our customers and internal teams. You will bridge the gap between business vision and technical execution, helping organizations solve their most complex challenges in big data, analytics, and data science. By acting as a technical advocate in the field, you will directly influence the product roadmap while helping customers achieve tangible, data-driven outcomes through the Databricks Lakehouse Platform. In this high-impact role, you will report to the Field Engineering Manager and collaborate with our most strategic prospects to integrate our platform into their enterprise ecosystems. You will navigate the competitive landscape with authority, applying best practices to develop technical champions within customer organizations. Beyond immediate technical delivery, you will grow as a leader in the cloud space, architecting sophisticated solutions that define the future of Data Engineering and AI for the world’s most innovative companies. This is a Hybrid role, based in Bengaluru.  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.BenefitsAt 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. 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.