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Partner Solutions Architect - Bengaluru, India - Databricks
Description
DiscoverCustomersPartnersDatabricks PlatformIntegrations and DataPricingOpen SourceDatabricks for IndustriesCross Industry SolutionsMigration & DeploymentSolution AcceleratorsTraining and CertificationEventsBlog and PodcastsGet HelpDive DeepCompanyCareersPressSecurity and TrustReady to get started?Partner Solutions Architect (Big Data)
Bengaluru, India
FEQ424R326As a
Partner Solutions Architect
(PSA) you will work with
Databricks' Consulting and System Integrator (C&SI) partners
, teammates, and with the technical and sales team members who work directly with our customers. You will develop 'technical champions' within our top C&SI Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake; and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners. This will be the
first PSA in India.
You will report to the AVP, Field Engineering
The impact you will have:
Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks including hands-on Apache Spark programming and integration with the wider cloud ecosystemEngage with the partner technical community by leading workshops, seminars, and meet-upsYou will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner networkShow expertise by producing creative technical solutions and blog postsWhat we look for:10+ years of
customer facing experience
working with external clients or partners across a variety of industry marketsCore strength in either data engineering or data scienceExperience demonstrating technical concepts, including presenting and whiteboardingExperience developing architectures within a public cloud (AWS, Azure, or GCP)
Hands on experience in SQL, Python, Scala, or JavaExpertise in at least one of the following:
Data Engineering technologies (Ex: Apache Spark, Hadoop, Kafka)
Data Warehousing (Ex:
SQL, OLTP/OLAP/DSS)
Data Science and Machine Learning technologies (Ex:
pandas, scikit-learn, HPO)BenefitsPrivate medical insuranceAccident coverageEmployee's Provident FundEquity awardsEnhanced Parental LeavesFitness reimbursementAnnual career development fundHome office & work headphones reimbursementBusiness travel accident insuranceMental wellness resourcesEmployee referral bonus