Big Data Architect (GCP)

TL;DR

Big Data Architect (GCP) (Databricks/Google Cloud): Designing and implementing scalable batch and streaming data platforms with an accent on cloud-native architecture, data processing, and analytics solutions. Focus on building reliable pipelines, optimizing Spark-based workloads, implementing governance, and translating business requirements into enterprise-scale technical solutions.

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

Company

hirify.global provides software engineering and technology services for organizations building and modernizing digital products and data platforms.

What you will do

• Design and support scalable, high-performance data platforms on Google Cloud and Databricks.
• Build and optimize batch and streaming data processing solutions using Python, SQL, Apache Spark, and cloud-native services.
• Develop data pipelines, data models, and analytics solutions while ensuring data quality, reliability, governance, and performance.
• Translate business requirements into technical solutions and implementation plans in collaboration with technical and business stakeholders.
• Guide engineering teams through technical best practices, solution reviews, architecture discussions, evaluations, and proof-of-concept activities.
• Contribute to continuous improvement and knowledge sharing across the engineering community.

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.
• Strong 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.
• Cloud migration or multi-cloud data platform experience.
• Pre-sales experience or Databricks and Google Cloud certifications.

Culture & Benefits

• Remote or office work options.
• Collaboration with technical and business stakeholders throughout the full project lifecycle.
• Knowledge sharing and continuous improvement within the engineering community.
• Equal opportunity employment regardless of protected personal characteristics.