Architect : Big Data

4 weeks ago


mumbai, India Databricks Full time
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Architect : Big Data

Mumbai, India

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:

Consulting / customer facing experience , workingwith 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, Spark or Scala

Benefits

Private medical insurance Accident coverage Employee's Provident Fund Equity awards Paid parental leave Gym reimbursement Annual personal development fund Work headphones reimbursement Business travel insurance Mental wellness resources

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