Base: starting from 3,000 eurpmnth; bonus/equity: ...
Hybrid
Strong hands-on experience with databricks in production
Deep knowledge of apache spark and delta lake
Proficiency in python/pyspark and sql programming
PwC Sweden is seeking a Databricks Architect to join their ATS Data & AI team, focusing on building lakehouse platforms and analytics solutions. The ideal candidate will possess strong hands-on experience with Databricks, Apache Spark, and cloud data platforms, while enjoying a hybrid work environment with various benefits
Job Summary
This role involves acting as a technical authority to design end-to-end lakehouse platforms and lead technical delivery for global clients.
The team focuses on building scalable ingestion pipelines, optimizing Spark workloads, and ensuring secure governance through Unity Catalog.
Candidates will benefit from flexible working arrangements, regular salary reviews, and opportunities for international assignments.
Matching Summary
Match Score: 85
PwC Sweden is seeking a Databricks Architect to join their ATS Data & AI team, focusing on building lakehouse platforms and analytics solutions. The ideal candidate will possess strong hands-on experience with Databricks, Apache Spark, and cloud data platforms, while enjoying a hybrid work environment with various benefits.
Salary
Base: starting from 3000 EUR/month; Bonus/Equity: Performance bonuses and special bonuses available; Benefits: Meal contributions, cafeteria benefits, Multisport card, medical center membership
Skills & Requirements
Must-have
Strong hands-on experience with Databricks in production
Deep knowledge of Apache Spark and Delta Lake
Proficiency in Python/PySpark and SQL programming
Experience with cloud data platforms like Azure AWS or GCP
Ability to tune Spark workloads for performance and cost
Nice-to-have
Unity Catalog and enterprise governance experience
CI/CD automation tooling for Databricks assets
Infrastructure as Code experience with Terraform
Experience with streaming workloads using Structured Streaming
Databricks or cloud certifications
Key Requirements
Strong hands-on experience with Databricks in production
Deep knowledge of Apache Spark and Delta Lake
Strong programming skills in Python/PySpark and SQL
Experience working with cloud data platforms (Azure/AWS/GCP)