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Solutions Architect
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ICT
💰 Salary Not shared
📊 Market 10,833 CAD–18,333 CAD/mo (129,996 CAD–219,996 CAD/yr)
About the Company
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 - rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool). Software Development Specialties: Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, AI/ML Ops
Role & Responsibilities
- ● Partner with our customers to design scalable data architectures using Databricks technology and services.
- ● Drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle.
- ● Engage with our customers' technical leads, including architects, engineers, and operations teams, with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes.
- ● Work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements.
- ● Report to the Field Engineering Manager.
- ● Work with Sales and other essential partners to develop account strategies for your 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 to land new users and use cases.
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- ● Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects.
- ● Prove out the Databricks technology for strategic customer projects.
- ● Validate integrations with cloud services and other 3rd party applications.
- ● Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.
Requirements
Education
- ● Desired Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).
Experience
- ● 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), or Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more).
- ● Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
Skills
- ● 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.
- ● Desired Built solutions with public cloud providers such as AWS, Azure, or GCP.
- ● Ability to travel to customers in your region up to 30% of the time.
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