Architecte TI dirigeant la modernisation des systèmes patrimoniaux de la Ville de Montréal. Conception, intégration et déploiement de solutions cloud et sur mesure.
About the role
- Databricks Solution Architect providing architectural direction while addressing technical challenges in AI and automation consulting. Engage with customers and design scalable data architectures using Databricks technology.
Responsibilities
- Provide high-level architectural direction
- Address sophisticated technical challenges
- Partner with customers to design scalable 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 to establish yourself as a trusted advisor
- Responsible for the end-to-end architecture of solutions centered around the Databricks Lakehouse Architecture
- Define platform architecture documentation, data pipelines design, and hands-on sophisticated development
- Implement technical solutions for enterprise systems
- Support account strategies and play a senior pre-sales engineer role
- Build demo applications for prospects
- Work with Data Scientists and ML Developers to support the development of AI and GenAI solutions
- Conduct in-depth Databricks specific code reviews
- Participate in the continuous improvement of Databricks products
Requirements
- 5+ years in a customer-facing pre-sales, technical architecture, or consulting role
- 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)
- 3+ years of working directly with Databricks
- At least one Databricks certification at the professional level
- Experience translating a customer's business needs to technology solutions
- Experienced at designing, architecting, and presenting data systems for customers
- 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
- Problem-solving abilities with a focus on customer-centric solutions
- Strong project management skills with attention to deadlines and quality
- A customer-first mindset to align solutions with business goals
- Meticulous attention to detail in documentation and solution delivery.
Benefits
- Meaningful work with a supportive, driven team
- Collaboration and celebration of wins together
- Professional development opportunities
- Global recognition as a Great Place to Work
- Multiple industry partner awards
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