Data Architect

Senior level • Full-time • Flexible remote in Cluj-Napoca, Oradea, Romania and Craiova
MRNYS009
40
Hybrid

Job Summary

Our partner is looking for a Data Architect who will help them to grow the data team, here, In Cluj-Napoca.

You will be responsible for gathering, analysing business requirements, planning & preparing, implementing, and delivering business intelligence solutions.

Responsibilities

  • Developing technology specifications and ensuring that new technology solutions are designed for optimal access and usefulness, and leveraging existing technologies when possible
  • Applying architectural and engineering concepts to design a solution that meets operational requirements, such as scalability, maintainability, security, reliability, extensibility, flexibility, availability, and manageability
  • Identifying the technologies to employ based on business requirements coverage, price, performance, service agreements, and organisation constraints
  • Participate and lead research and development efforts (proofs of concept, prototypes), as subject matter experts, when introducing new technologies.
  • Provide technical expertise to propose the level of effort estimates (LOE), work breakdown structures, and technical resource planning for proposed and current work
  • Provide input to management throughout the project management lifecycle
  • Ensures technology solutions are production ready and meet the defined specifications, and that the solution can be maintained via production support methodologies and resources.
  • Provide technical guidance to coach and mentor team members; provide performance feedback to manager(s).

Skills and experience

  • Good analytical skills (skilled in analysing and documenting business requirements and corresponding solution specifications)
  • Good knowledge of software design methods and techniques
  • Experience of BI/DWH maintenance and design
  • Experience of ETL development and data modelling, preferably on several platforms and with different tools
  • Very good knowledge of databases eg. Oracle, MySQL, Teradata, MS SQL
  • Experience with database development of stored procedures, triggers, views
  • Experience with Big Data ecosystem
  • Experience with Data Warehouse in cloud ecosystems
  • Good knowledge of SQL, PL/SQL ,T-SQL
  • Good knowledge of SQL optimization
  • Good knowledge of Unix-Shellscripts
  • Good knowledge of Data Modeling concepts, methodologies and processes
  • Basic database administration skills
  • Leadership experience is an advantage
  • Fluency in written and spoken English, preferably also German
  • Willingness to travel abroad

Nice to have:

  • Basic understanding of machine learning fundamentals and deep learning
  • Implementation experience in machine learning algorithms and applications
  • Programming skills in at least one object-oriented programming language (Java, Scala, C++, Python, etc.)
  • Implementation experience with at least one of the modern distributed ML frameworks such as TensorFlow, PyTorch, Caffe, MxNet

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