Data Architect
3 weeks ago
Job Description :
As a Data Architect you will be at the heart of the organization. We all know that data is hot and that companies need to use the data to come to insights. But do they know who is using their data? And which data? As a data Architect, you will support the respective domain to take control of their data and getting value out of it by defining/complying a reference architecture the domain.
This means that you will work closely with business leaders and information management teams to define and implement a roadmap on data management, intelligence or analytics solutions to monetize the value of data within the domain.
Responsibilities :
Defines, challenge and prioritize with domain data requirements.
Design advanced conceptual, logical and physical data organizations, models, repository, dashboards, reports within a complete functional and technical architecture.
Partners with other architects, infrastructure and software experts to define metadata layers, technical strategy and optimal integration within existing domain or value stream landscape.
Translate to technical designers or developers designed solution, review proposed solution and optimize it when required.
Participate to the definition of testing strategy.
Ensure business access to adequate, understandable, accurate data.
Design, develop and continuously improve supporting activities (automation of versioning and release management, scheduling, security models, impact assessment of new changes …)
Accountable for End to End solution.
Qualifications :
Bachelor’s degree in Computer Science, Engineering, or related field.
3 to 5 years of experience as a Data Engineer Senior or architect.
Expertise :
Have worked in building data design, architecture and predictive analytics.
Experience in working closely with all business lines to identify business needs and analytics opportunities.
The position will require a deep understanding of query and analytics tools.
Knowledgeable in advanced data analysis techniques.
Experience leading data conversations and developing business concepts.
Experience supporting the design and development of business intelligence solutions.
Ability to solve problems independently and as part of a team.
Ability to communicate clearly and concisely, while moving from task to task.
Ability to work as part of a team and to complete tasks as assigned, with great attention to detail.
Translate business requirements into data requests, reports and dashboards.
Communicate effectively with all corporate business lines.
Work with domain and operational data, translating business data to usable information.
Skills and abilities:
Strong interpersonal skills required.
Data programming: Python, SQL, SAS, Java or similar.
Data Visualization & Reporting: Tableau, Power BI, or similar.
Data Manipulation & Analytics: RapidMiner or similar.
Data Integration: Databricks, Informatica or similar.
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