Big Data Architect (GCP)

Location: Bulgaria, Poland, or Romania; remote or office work

Company

Engineering and technology organization delivering data and analytics platforms across enterprise projects.

What you will do

• Design and support scalable, high-performance data platforms using Databricks and Google Cloud data services.
• Build and optimize batch and streaming data pipelines with Python, SQL, Apache Spark, and cloud-native technologies.
• Design data models, data warehouses, and analytics solutions.
• Translate business requirements into technical solutions and implementation plans with technical and business stakeholders.
• Guide engineering teams through technical best practices, solution reviews, architecture discussions, and Proof of Concept activities.
• Ensure data quality, reliability, governance, and performance while contributing to knowledge sharing and continuous improvement.

Requirements

• Experience as a Tech Lead, Senior Data Engineer, or Associate Data Architect designing enterprise-scale data platforms.
• Strong proficiency in Python or Scala and advanced SQL skills.
• Extensive hands-on experience with Apache Spark, including PySpark or Spark SQL.
• Experience with Databricks or Google Cloud data services such as BigQuery, Dataflow, Dataproc, or Cloud Composer.
• Knowledge of data modeling, data warehousing, and pipeline orchestration with Airflow or Databricks Workflows.
• Upper-intermediate or higher English proficiency required.

Nice to have

• Experience with Databricks governance capabilities such as Unity Catalog, Delta Lake, or Delta Live Tables.
• Experience with cloud migration, multi-cloud data platforms, or pre-sales activities.
• Databricks or Google Cloud industry certifications.

Culture & Benefits

• Remote or office-based work options.
• Participation in an engineering community focused on knowledge sharing and continuous improvement.