Bits In Glass

Bits In Glass

Databricks Solution Architect

Canada Remote, Alberta, Canada · Senior

Sponsorship not specifiedDetected 33 days ago
PythonJavaScalaExpressCode ReviewSQLDatabricksAWSGCPAzureKafkaMachine Learningscikit-learnPandasSparkData EngineeringData ScienceProject ManagementSalesResearchCommunicationProblem SolvingMentoringPublic Speaking

About the role

  • Join a company that's leading the way in AI and automation consulting.
  • Our portfolio spans 10+ top technologies across business applications, data, process, cloud, and AI.

Responsibilities

  • Define the platform architecture documentation, data pipelines design and documentation, work-effort estimation and hands-on sophisticated development.
  • You will build demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.
  • You will work with Data Scientists and ML Developers to support the development of AI and GenAI solutions.
  • Conduct in-depth Databricks specific code reviews to optimize resource utilization and capabilities.
  • Actively test and clearly document implementations, so others can easily understand

Requirements

  • If you're looking to deepen your expertise and solve real-world problems, Bits In Glass could be the place for you.
  • 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:

Skills

  • 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)
  • 3+ years of working directly with Databricks
  • At least one Databricks certification at the professional level
  • Fluent in SQL and database technology.
  • Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
  • Working knowledge of the hyperscaler technologies like AWS, Azure and GCP
  • A degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) would be highly desirable.
  • Excellent written and verbal communication skills for diverse audiences

Company info

  • Responsible for the end-to-end architecture of solutions centered around the Databricks Lakehouse Architecture, including its assembly and integration into the overall data architecture for our customers
  • Implement technical solutions for enterprise systems and build trust with customers in Databricks ability to meet their business requirements
  • You will work with Sales and other essential partners to support account strategies and play a senior pre-sales engineer role to help customers grow their usage of the Databricks platform.
  • You will be a resident expert in Databricks and follow all the developments in the platform to ensure we can provide the latest advice to our customers.
  • Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
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