Overview
Forward Deployed Engineer embedded with enterprise clients and Databricks account teams to architect, build and deploy data engineering, analytics and GenAI solutions on the Databricks Data Intelligence Platform.
What you'll do
- Embed with client engineering and business stakeholders to design, build and deploy end-to-end production solutions on Databricks within accelerated timelines.
- Architect scalable data pipelines using Delta Lake, Unity Catalog and Apache Spark, handling complex cloud migrations, legacy BI modernization and performance/cost optimization.
- Build and deploy enterprise AI/ML workflows, knowledge layers/ontologies and natural-language analytics solutions using Databricks AI/BI Genie, Mosaic AI, RAG architectures and Model Serving.
- Lead architectural workshops, translate business requirements into technical roadmaps and troubleshoot production bottlenecks alongside client teams.
- Act as the primary technical bridge between Tiger Analytics delivery teams, client stakeholders and Databricks field engineering teams to drive adoption and expand platform capabilities.
What you'll need
- 5+ years of hands-on experience in Data Engineering, Applied AI/ML Engineering.
- Strong proficiency in Python and SQL, with deep hands-on mastery of Apache Spark (performance tuning, query optimization, cluster sizing and memory management).
- Proven experience implementing Lakehouse architectures, including Delta Lake, Unity Catalog (governance, lineage, access control) and Databricks Workflows.
- Practical experience building and deploying AI/GenAI solutions on Databricks (e.g., Databricks AI/BI Genie, Mosaic AI, Vector Search, LLM integration or MLflow).
- Experience migrating enterprise data workloads or modernizing legacy BI/data warehouses onto cloud platforms (AWS, Azure or GCP).
- Exceptional communication and consultative skills, with a demonstrated track record of operating effectively in fast-paced, client-facing environments.
- Strong customer-facing communication and sharp problem-solving instincts.
- Comfortable operating independently, navigating ambiguity and moving fast from problem to solution to production.
- Equally at home with business and technical stakeholders.
Details
- Location: Canada; United States.
Read the full description and apply on the company’s own careers page.