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.
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
Fluent English mandatory, additional languages appreciated