Θέσεις εργασίας στην Ελλάδα

Η αγγελία εργασίας έχει λήξει

06/10/2022

Data Architect

Λογιστήριο - Οικονομική Διεύθυνση

Πόλη AΘΗΝΑ | ΑΘΗΝΑ - ΑΤΤΙΚΗ
Απασχόληση Πλήρης απασχόληση
Επίπεδο Σπουδών Ανώτατο Εκπαιδευτικό Ίδρυμα (ΑΕΙ)

Περιγραφή

lmw is seeking a dynamic and experienced Data Architect on behalf of a leading financial institution in Athens.


Main Purpose

  • Visualize and design an organization’s enterprise data management framework. This framework describes the processes used to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control, and purge data

Responsibilities:

  • Define the data architecture framework, standards, and principles, including modeling, metadata, security, reference data and master data
  • Translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses
  • Collaborate and coordinate with multiple departments, stakeholders, partners, and external vendors
  • Visualize, design, and prepare data in a framework that can be used by data scientists, data engineers, or data analysts
  • Assist in developing scalable and maintainable BI applications to meet business objectives
  • Collaborate with BI Administrators, Developers and Analysts for successful development of BI reporting and analysis solutions
  • Perform maintenance and troubleshooting activities for BI tools
  • Recommend strategies to improve performance and capacity of BI tools
  • Maintain accurate and complete technical architectural documents
  • Provide technical training on BI tools to junior staffs

Απαραίτητα Προσόντα

  • BSc in Economics or Data Science (MSc is considered a plus)
  • 2-3+ years of experience in a similar role
  • Technical experience in designing, building, installing, configuring, and supporting multi-gigabyte data warehouses
  • Strong understanding and experience with Microsoft SQL Server database platform and SQL Server reporting and Analytics Services (SSRS, SSAS, and SSIS)
  • Deep understanding of the Microsoft SharePoint platform
  • Strong understanding of relational database structures, theories, principles, and practices
  • Hands-on experience with business intelligence, data architecting, data mining, large scale data modeling, and business requirements gathering / analysis
  • Familiarity with network architecture and performance requirements
  • In-depth technical knowledge of network, PC, and platform operating systems

Παροχές

The company offers a competitive remuneration package, pleasant working environment and real opportunities to develop within the role and the company.