Cloud Data Architect

2 dni temu


Wrocław, Województwo dolnośląskie, Polska Luxoft Pełny etat

Luxoft DXC Technology Company, a leading provider of consulting and implementation services for complex projects in the financial industry, is seeking an experienced Cloud Data Architect to join their team.

The ideal candidate will have extensive experience in designing and implementing cloud-based data processing platforms, enabling efficient management and real-time analysis of large datasets. Key aspects include implementing ETL/ELT pipelines, optimizing data processing, and ensuring compliance with industry regulations. The solution leverages Azure, Apache Spark, and Data Lakehouse architecture to support strategic business decisions.

In this role, you will be responsible for engineering reliable data pipelines for sourcing, processing, distributing, and storing data in different ways, using cloud (Azure) data platform infrastructure effectively. You will transform data into valuable insights that inform business decisions, making use of our internal data platforms and applying appropriate analytical techniques.

To succeed in this position, you must have a deep understanding of the software development craft, with focus on cloud based (Azure), event driven solutions and architectures, with key focus on Apache Spark batch and streaming, Datalakehouses using medallion architecture. Knowledge of DataMesh principles is added plus.

You will collaborate with cross-functional teams to develop, train, and apply data engineering techniques to automate manual processes, and solve challenging business problems. You will ensure the quality, security, reliability, and compliance of our solutions by applying our digital principles and implementing both functional and non-functional requirements.

Beyond your technical expertise, you will have excellent communication skills to clearly articulate complex solutions, and strong problem-solving and analytical skills. You are comfortable working in an Agile environment and have experience with traditional data warehousing concepts (Kimball Methodology, Star Schema, SCD) / ETL tools (Azure Data factory, Informatica).



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