Data Architect Expert - Madrid, España - Palace Entertainment

Palace Entertainment

Empresa verificada

Madrid, España

hace 2 semanas

Publicado por:

Isabel García

beBee Recruiter

Descripción

Parques Reunidos is one of the leading, fastest-growing leisure park operators in the world.

With 50 years' experience, it owns and operates more than 60 parks across Europe, North America, the Middle East and Australia.

We are currently looking for a:
Data Architect Expert

Roles & Responsibilities:
Roles & Responsibilities

Ability to design systems for the collection, storage and processing of massive data or Big Data, in real time, batch
Data modelling, physical, logical, or conceptual, for storage, visualization and exploitation purposes: multidimensional data model stars, snowflakes and constellations,
Develop data models for database structures. Ability to design and structure SQL and NoSQL databases.
Participates and provides input to the Data technological platform and collaborates in the selection processes of technology in the company.
Responsible for the technical evolution workstreams of the data platforms (cloud, on premise, legacy) existing in the company. Define the strategy to integrate new/legacy systems with existing warehouse structures. Knowledge of new technologies and tools and the ability to implement and integrate them into their data architecture systems.
Provide guidance on how to design and orchestrate data solutions on the cloud platform, hybrid platform or onpremises systems.
Effectively communicate understanding of the data, reporting requests and business needs to proactively research solutions and provide suggestions for improvement.
Research industry trends, standard methodologies and review current data processes to effectively provide company staff analysis and recommend and implement potential improvements.
Collaborate on defining data governance controls and ensure their compliance, as his/her collaboration on the track of data dictionary lifecycle, implement metrics to ensure data accuracy and accessibility or produce and enforce database development standards

Requirements:

Education:

Degree in computer science, computer engineer or equivalent experience.

Languages:

Spanish
Mother tongue.
English: Fluent (B2 minimum, C1 preferred).

Computer Skills:

Experience:

Minimum of 5 years of professional experience in related position required.
Experience with cloud architectures: AWS, Azure, Google cloud, Hybrid cloud required.
Experience in data modelling and database architectures.
Experience with relational, no sql, cloud, real time, streaming, datamart, datalakedatabases
Experience with data integration between APIs (Application Programming Interfaces) required.
Knowledge of data visualization tools: Power BI, Quickview, reporting servicesand ETL tools: talend, ODI, integration services,
Demonstrable ability to work independently and in a team setting
Technological leadership and IT vision on data platforms
Deep knowledge on Big data architectures
Must be capable of working under tight time constraints and with multiple priorities.
Ability to: Plan, organize, configure and document complex data platforms within corporate institutional policies/procedures; communicate technical/complex information both verbally and in writing; establish and maintain cooperation, understanding, trust and credibility; perform multiple tasks concurrently and respond to emergency situations

Others:

Certification on any data cloud solution: Microsoft Azure, Google Cloud
Experience with data visualization tools
Experience with ETL tools
Experience on Agile, Scrum, DevOps
Highly organized and able to multitask and prioritize effectively.
Excellent verbal, written, listening, and interpersonal skills.
Knowledge of programming languages, such as R or Python.
Data science or data analytical knowledge will be a plus.
Analytical Problem-Solving: Approaching highlevel data challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and human resources.
Effective Communication: Carefully listening to management, data analysts and relevant staff to come up with the best data design; explaining complex concepts to nontechnical colleagues.
Expert Management: Effectively directing and advising a team of data modelers, data engineers, database administrators and junior architects.
Industry Knowledge: Understanding the way this industry functions and how data are collected, analyzed, and utilized; maintaining flexibility in the face of big data developments.
Do not miss the chance to spark your career now