Data architect
Solvay
Carnaxide, Portugal
há 6 dias

General Information

Solvay is a multi-specialty chemical company committed to developing chemistry that addresses key societal challenges. We innovate and partner with customers in diverse global end markets.

Solvay Business Services (SBS) is the global shared services organization supporting internal and external growth by

Job Overview and Responsibilities

The Data architect is a central and key role within the Data team as this role defines how the data will be stored, consumed, integrated and managed by different applications & solutions.

Also ensures that an organization follows a formal data standard and that its data assets are inline with the defined architecture and goals of Solvay business.

His / her key responsibilities will be :

Organizes data at the macro level into data types / domains

Organizes data at the micro level, data models & elements for a data applications

Designs, develops & provides a logical data model & diagrams as a standard for the golden source and for consuming applications to inherit

Designs, develops & provides a logical data model & diagrams with elements and business rules needed for the creation of data quality rules

Designs solutions which will be deployed to collect, curate, provision and store data

Responsible for guiding data architecture principles to be followed by delivery teams

Responsible for assisting in the development and enforcement of data management principles, policies and guidelines

Education and Experience

Minimum : 5 years or more of hands-on experience with data management disciplines, including data modeling, data engineering, and data quality.

Skills

Have worked in building business intelligence design full-stack.

Manage data sets and work with ETL and Data warehouse solutions.

Understanding of query and analytics tools.

Experience in Data Integration : Talend, Informatica, Databricks, or similar

Data Platform Capabilities : Monitoring, Scheduling, Security, .

Data Warehousing : Snowflake, Azure DataLake, AWS Redshift, Google Big Query, SQL Server, SAP, or similar

Expertise within Google Cloud Data Platform.

Subject area functional knowledge with financial & accounting data (e.g. accounts payable , cashflows, customer, etc.) is a plus.

Proven working experience with data management concepts and activities including an understanding of industry best practices for data modeling, data quality, metadata and data management principles, policies, and guidelines .

Experience in data governance capabilities, including standardized data vocabularies and related capabilities (business glossaries, data dictionaries, etc.)

Experience developing standardized data vocabularies across large organizations and multiple units is strongly preferred

Experience with data issue identification, analysis, and remediation

Working knowledge of complex technology systems, with ability to effectively communicate with business partners

Communicates effectively (both written and oral) to all levels and can deliver difficult / sensitive information tactfully

Additional Information

Fluent English mandatory, additional languages appreciated

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