• Join our Development Center and become a member of our open-minded, progressive and professional team. You will have a chance to grow your technical and soft skills, and build a thorough expertise of the industry of our client. In this role you will be working on projects for one our world famous clients, a large international investment bank.
• We are seeking a technically strong and hands-on Data Architect to design and own end-to-end data sourcing and integration solutions. This role focuses on architecting scalable, secure, and efficient data pipelines that ingest, process, and publish data from a wide variety of sources—including traditional databases, Hadoop, NoSQL systems, and file-based inputs—into our hybrid data platform spanning Google Cloud and on-premises infrastructure.
• This is a hands-on role, requiring active participation in solution implementation, including code commits, technical reviews, and close collaboration with engineering teams.
• On top of attractive salary and benefits package, Luxoft will invest into your professional training, and allow you to grow your professional career.
• Responsibilities:
• Key Responsibilities:
• • Solution Architecture
• o Design comprehensive data sourcing strategies and technical interfaces with feed providers.
• o Architect data pipelines for ingestion, transformation, and delivery to distribution layers such as BigQuery and Cloud Storage.
• o Ensure alignment with enterprise data governance, security, and performance standards.
• • Platform Integration
• o Define integration patterns for hybrid environments (GCP + on-prem).
• o Own the technical blueprint for data movement, preprocessing, and publication.
• • Stakeholder Collaboration
• o Engage with internal and external data providers to agree on technical specifications and delivery formats.
• o Collaborate with engineering teams to ensure architectural designs are implemented effectively.
• • Technical Execution
• o Contribute directly to codebases and configuration repositories.
• o Participate in code reviews, testing, and deployment processes.

Mandatory Skills Description:

• Required Skills & Experience:
• • Deep expertise in:
• o Oracle, Postgres, Hadoop, NoSQL databases
• o Data pipeline frameworks (e.g., Apache Spark, Airflow, Dataflow, Dataproc)
• o Google Cloud Platform (BigQuery, Cloud Storage, Pub/Sub, Composer, CloudRun, IAM)
• o Data virtualization tools such as Trino (Presto, or Denodo, or similar)
• o Cloud security and IAM (Identity and Access Management) best practices
• • Strong understanding of hybrid cloud architectures and data lifecycle management.
• • Experience designing scalable and secure data solutions in enterprise environments.
• • Excellent communication and stakeholder engagement skills.

Nice-to-Have Skills Description:

• Preferred Qualifications:
• • Familiarity with metadata management and data cataloging tools.
• • Exposure to CI/CD and DevOps practices for data platforms.
• • Experience in regulated industries or large-scale data environments.