Technology Architect_ Databricks
Role details
Job location
Tech stack
Job description
We are looking for a Data Architect to design, build, and operate scalable data pipelines and data products, enabling a modern data mesh architecture. The role focuses on integrating legacy systems with cloud-native platforms to support analytics, reporting, and domain-owned data products., * Build and maintain batch and streaming data pipelines from legacy mainframe DB2 and on prem SQL Server systems into an AWS-based data lake.
- Implement real-time ingestion using Confluent Kafka and land data in Amazon S3.
- Develop data transformations and analytics pipelines in Databricks using the medallion architecture (Bronze, Silver, Gold).
- Design and deliver high-quality, reusable data products aligned to data mesh principles.
- Ensure data quality, reliability, security, and governance across pipelines.
- Collaborate with domain teams, platform teams, and stakeholders to enable self-serve analytics and consumption.
Requirements
- Strong experience with Databricks (Spark, PySpark/SQL) and data lake architectures.
- Hands-on experience with streaming technologies, especially Kafka / Confluent Kafka.
- Experience integrating legacy data sources such as DB2 (mainframe) and SQL Server.
- Working knowledge of AWS data services, especially S3.
- Understanding of data product thinking, data mesh concepts, and modern data engineering best practices., * Experience in banking or financial services data platforms.
- Familiarity with data governance, metadata management, and regulatory reporting
Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: *High analytical skills *A high degree of initiative and flexibility *High customer orientation *High quality awareness *Excellent verbal and written communication skills