Solutions Architect - Data & AI
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FEQ225R102
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. This will be the first hire in the region !
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
Benefits
Private medical insurance
Accident coverage
Equity awards
Paid parental leave
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Business travel insurance
Mental wellness resources
Solutions Architect - Data & AI
To see similar active jobs please follow this link: Remote Development jobs
FEQ225R102
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. This will be the first hire in the region !
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
Benefits
Private medical insurance
Accident coverage
Equity awards
Paid parental leave
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Business travel insurance
Mental wellness resources