Data Architecture Specialist

1 day ago

Montreal, Quebec, Canada Databricks Full time
{"title": "Solutions Architect", "description": "

At Databricks, we're seeking a skilled Solutions Architect to partner with our customers and design scalable data architectures using our technology and services. As a trusted advisor, you'll drive complex technology discussions and express the value of our platform throughout the sales lifecycle. In partnership with our Account Executives, you'll engage with customers' technical leads, including architects, engineers, and operations teams, to establish yourself as a go-to expert. You'll work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements.

The Impact You'll Make:

  1. You'll work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of our platform.
  2. You'll establish our Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.
  3. You'll build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals.
  4. You'll capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out our technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.
  5. You'll become an expert in, and promote Databricks-inspired open-source projects across developer communities through meetups, conferences, and webinars.

What We Look For:

  1. 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:
  2. Big data engineering (Ex: Spark, Hadoop, Kafka)
  3. Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)
  4. Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)
  5. Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
  6. Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.
  7. Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
  8. Fluent in SQL and database technology.
  9. Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
  10. [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP
  11. [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
  12. Travel to customers in your region up to 30% of the time.
  13. Must speak and write fluent French. ", "lang_code": "en-US"}

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