D672 Senior Data Architect

D672 Senior Data Architect Barcelona, Catalonia D672 Senior Data Architect
Barcelona
Barcelona, Catalonia, ES

. This position reports to the Head of Data Architecture and modeling in the Consumer Healthcare business unit at SanofiA cornerstone of CHC transformation in the coming years, the Senior Data Architect will create relationships across the enterprise that help to understand CHC's business model, current data environment and needs, and how data drives success. This position will collaborate with multiple business functions to provide guidance in implementing the right data model and practices that meet their needs. S / he will closely work with business partners, stakeholders,

and the data governance team to create a logical data model architecture for various data objects. S / he will work on modern data architecture techniques and cloud data technologies. The candidate must be able to work independently and collaboratively. You will work with a diverse team of business analysts, data scientists, technical engineers, data architects, and project managers to deliver outcomes aligned with our business needs. KEY RESPONSIBILITIESThe Senior Data Architect will be responsible for :Lead data architecture & modeling efforts within Snowflake, AWS, and related cloud data products, including the design of data structures and the identification of business transformation logic. Analyzing and translating business requirements into conceptual and detailed logical data models. Creating logical data models based on existing applications and databases. Working with business architects, data architects, and data stewards to capture business requirements in a Logical Data Model. Transform the logical representation of the model into a physical representation and work with database administrators to instantiate and manage the data. Contribute to the assessment of appropriate data platform(s)

for solution efforts. Responsible for the development of on-prem and / or cloud-native RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL / NoSQL)Collaborate with the BI and Analytics teams on creating an optimized, reusable semantic model, complete with metadata and lineage information. Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Optimize the model to ensure predictable performance. Maintain the metadata - describing the data model, its structure, and semantics. QUALIFICATIONS10 years or more experience in Data Architecture and Modeling. 5+ years' experience in Snowflake and AWSStrong experience in Snowflake, AWS,

and related cloud data productsGood working knowledge of IICS, dbt ETL / ELT technologiesAdvanced SQL SkillsExperience working in FMCGExperience in Data strategies and developing logical and physical data models on RDBMS, NoSQL, and Cloud native databases. Agile ways of working and large projects phased delivery

Welcome to hacendo.comkitempleo. es asks for your consent to use your personal data to:

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D672 Senior Data Architect
Barcelona
Barcelona, Catalonia, ES

. This position reports to the Head of Data Architecture and modeling in the Consumer Healthcare business unit at SanofiA cornerstone of CHC transformation in the coming years, the Senior Data Architect will create relationships across the enterprise that help to understand CHC's business model, current data environment and needs, and how data drives success. This position will collaborate with multiple business functions to provide guidance in implementing the right data model and practices that meet their needs. S / he will closely work with business partners, stakeholders,

and the data governance team to create a logical data model architecture for various data objects. S / he will work on modern data architecture techniques and cloud data technologies. The candidate must be able to work independently and collaboratively. You will work with a diverse team of business analysts, data scientists, technical engineers, data architects, and project managers to deliver outcomes aligned with our business needs. KEY RESPONSIBILITIESThe Senior Data Architect will be responsible for :Lead data architecture & modeling efforts within Snowflake, AWS, and related cloud data products, including the design of data structures and the identification of business transformation logic. Analyzing and translating business requirements into conceptual and detailed logical data models. Creating logical data models based on existing applications and databases. Working with business architects, data architects, and data stewards to capture business requirements in a Logical Data Model. Transform the logical representation of the model into a physical representation and work with database administrators to instantiate and manage the data. Contribute to the assessment of appropriate data platform(s)

for solution efforts. Responsible for the development of on-prem and / or cloud-native RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL / NoSQL)Collaborate with the BI and Analytics teams on creating an optimized, reusable semantic model, complete with metadata and lineage information. Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Optimize the model to ensure predictable performance. Maintain the metadata - describing the data model, its structure, and semantics. QUALIFICATIONS10 years or more experience in Data Architecture and Modeling. 5+ years' experience in Snowflake and AWSStrong experience in Snowflake, AWS,

and related cloud data productsGood working knowledge of IICS, dbt ETL / ELT technologiesAdvanced SQL SkillsExperience working in FMCGExperience in Data strategies and developing logical and physical data models on RDBMS, NoSQL, and Cloud native databases. Agile ways of working and large projects phased delivery

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Information about your activity on this service (for instance, forms you submit, non-advertising content you look at) can be stored and combined with other information about you (such as your previous activity on this service or other websites or apps) or similar users. This is then used to build or improve a profile about you (which might for example include possible interests and personal aspects). Your profile can be used (also later) to present content that appears more relevant based on your possible interests, such as by adapting the order in which content is shown to you, so that it is even easier for you to find content that matches your interests.

Use profiles to select personalised content

Content presented to you on this service can be based on your content personalisation profiles, which can reflect your activity on this or other services (for instance, the forms you submit, content you look at), possible interests and personal aspects. This can for example be used to adapt the order in which content is shown to you, so that it is even easier for you to find (non-advertising) content that matches your interests.

Information regarding which advertising is presented to you and how you interact with it can be used to determine how well an advert has worked for you or other users and whether the goals of the advertising were reached. For instance, whether you saw an ad, whether you clicked on it, whether it led you to buy a product or visit a website, etc. This is very helpful to understand the relevance of advertising campaigns.

Information regarding which content is presented to you and how you interact with it can be used to determine whether the (non-advertising) content e. g. reached its intended audience and matched your interests. For instance, whether you read an article, watch a video, listen to a podcast or look at a product description, how long you spent on this service and the web pages you visit etc. This is very helpful to understand the relevance of (non-advertising) content that is shown to you.

Understand audiences through statistics or combinations of data from different sources

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Content presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type, or which content you are (or have been) interacting with (for example, to limit the number of times a video or an article is presented to you).

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Exponential Interactive, Inc d/b/a VDX. tv

Data collected and processed: IP addresses, Non-precise location data, Browsing and interaction data, Device identifiers, Users’ profiles, Privacy choices, Probabilistic identifiers

Data collected and processed: IP addresses, Device characteristics, Non-precise location data, Browsing and interaction data, Device identifiers, Precise location data, Privacy choices, Authentication-derived identifiers, Probabilistic identifiers

Data collected and processed: IP addresses, Browsing and interaction data, Probabilistic identifiers

Data collected and processed: IP addresses, Device characteristics, Non-precise location data, Device identifiers, Precise location data, Privacy choices

Data collected and processed: IP addresses, User-provided data, Device characteristics, Non-precise location data, Browsing and interaction data, Device identifiers, Users’ profiles, Privacy choices, Authentication-derived identifiers, Probabilistic identifiers

Data collected and processed: IP addresses, Device characteristics, Non-precise location data, Browsing and interaction data, Device identifiers, Precise location data, Privacy choices, Probabilistic identifiers

Data collected and processed: IP addresses, Device characteristics, Non-precise location data, Browsing and interaction data, Users’ profiles, Privacy choices

Data collected and processed: IP addresses, Device characteristics, Non-precise location data, Device identifiers, Users’ profiles, Authentication-derived identifiers, Probabilistic identifiers

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