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Data Architect

2 months ago

Montreal, Quebec, Canada Databricks Full time
About the Role

We are seeking a highly skilled Data Architect to join our team at Databricks. As a key member of our Field Engineering organization, you will play a critical role in designing and implementing scalable data architectures for our customers.

Key Responsibilities
  • Partner with customers to design and implement data architectures using Databricks technology and services.
  • Drive complex technology discussions to express the value of the Databricks platform throughout the sales lifecycle.
  • Engage with customers' technical leads, including architects, engineers, and operations teams, to establish yourself as a trusted advisor.
  • Work with teams across Databricks and our executive leadership to represent customer needs and build valuable customer engagements.
  • Develop account strategies for assigned accounts to grow their usage of the platform.
  • Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.
  • Build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals.
  • Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects.
  • Become an expert in, and promote Databricks-inspired open-source projects across developer communities.
Requirements
  • 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:
  • Big data engineering (Ex: Spark, Hadoop, Kafka)
  • Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)
  • Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)
  • Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
  • Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.
  • Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
  • Fluent in SQL and database technology.
  • Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
  • [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP
  • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
  • Travel to customers in your region up to 30% of the time.
  • Must speak and write fluent French.
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.