Databricks Data Engineer
Remote only on w2 - short term contract
Position overview
- We are seeking a highly experienced Senior Databricks Data Engineer with specific, hands-on experience converting existing Power BI semantic models, DAX measures, and business KPIs into Databricks Metric Views.
- The ideal candidate must have delivered a Power BI-to-Databricks Metric Views conversion or migration project not merely general Databricks development or Power BI dashboard development.
- The role requires strong knowledge of DAX calculation logic, Databricks SQL, YAML-based Metric View definitions, dimensional modeling, and Databricks dashboard development using centralized metrics.
- The engineer will analyze existing Power BI reports and semantic models, translate business logic into reusable Databricks metrics, validate calculation parity, and build dashboards that consume governed metric definitions.
- The goal is to centralize business metrics, improve consistency across reporting platforms, and reduce duplication of KPI logic.
Key responsibilities
1. Power BI to Databricks Metric Views conversion
2. DAX and semantic modeling
3. Databricks Metric Views and YAML
4. Databricks dashboard development
5. Data engineering and SQL
6. Testing, reconciliation, and migration quality
Required technical skills
- Strong hands-on experience with Databricks Metric Views and their development, configuration, and consumption.
- Demonstrated delivery experience with a Power BI to Databricks Metric Views conversion project.
- Strong DAX skills, including interpretation and migration of complex measures.
- Proficiency in Databricks SQL and SQL-based data validation.
- Hands-on experience writing and troubleshooting YAML-based Metric View definitions.
- Practical experience developing Databricks dashboards using Metric Views.
- Strong understanding of semantic models, fact and dimension tables, relationships, measures, and aggregations.
- Experience reconciling KPIs between Power BI and Databricks.
- Ability to investigate discrepancies and explain differences in calculation behavior.
- Strong analytical, documentation, and stakeholder communication skills.
Preferred qualifications
- Experience with Unity Catalog and governed metric definitions.
- Experience with Delta Lake and Databricks lakehouse architecture.
- Experience with Power BI datasets, semantic models, and enterprise reporting.
- Familiarity with Git-based version control, testing, and deployment workflows.
- Experience working with business analysts, BI developers, data architects, and reporting teams.
- Experience migrating enterprise reporting workloads from BI-layer calculations to a centralized metrics layer.
