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Technical Domain Architect
Functie omschrijving
Technical Domain Architect
Voor Tata Steel is Magnit op zoek naar een Technical Domain Architect AWhat's your job?
As a Technical Architect responsible for the domain of Data Technology at Tata Steel Nederland (TSN), your role encompasses investigating new opportunities, advising project teams, conducting proof of concepts, and influencing stakeholders. You will be tasked with developing technology roadmaps for the coming years, specifically focusing on the technical design of the Data landscape aligned with TSN's strategic direction. Your expertise will guide the direction of projects and solutions, ensuring scalability and the delivery of robust, high-performance solutions.
In this dynamic role, collaboration with cross-functional teams, including data scientists, engineers, and business stakeholders, is essential. You will engage in various activities and work closely with both external IT partners and internal departments, many of which have their own development teams, particularly in the manufacturing domain.
Your strategic influence extends to senior business stakeholders, ensuring strong engagement and aligning project deliveries with longer-term strategic goals. The optimization of the existing data architecture, delivery of reusable services, and identification of cost-saving opportunities within TSN’s policies and standards are part of your commitment to enhancing efficiency. The role-holder makes crucial decisions or provides relevant information/knowledge to make decisions about system design, platform selection, security protocols, and data management. By creating technology standards, assess the feasibility of new solutions, and decide on the integration of emerging technologies to meet organizational goals and optimize overall IT performance.
Given the diverse IT landscape at TSN, the ability to transition between state-of-the-art big data concepts and traditional data storage and processing is crucial. While a significant portion of the IT infrastructure remains on-premises, the ongoing Cloud Migration initiative is a key focus.
The ideal candidate will possess in-depth knowledge of various Data technologies while also demonstrating a commitment to staying up-to-date with the latest developments and demonstrating flexibility and eagerness to learn.
Is this you?
- You will have a degree (ideally masters), in Information Technology, Computer Data Science, Data and Analytics, or a related field.
- You will have at least 5 years of full-time, professional experience where the major duties include information modelling and information flow management, database design, team management/leadership, data operations, maintenance, ETL, and automation.
- Ability to guide solution design and architecture aligning with business requirements.
- Possess a comprehensive understanding of most common data modelling concepts applied in data warehousing, along with proficiency in modelling tools such as ER/Studio, SPARX SQL Database Modeler, or equivalent.
- Familiarity and hands-on experience with a range of technologies, including Microsoft Azure SQL, Microsoft Azure Data Lake Storage, APIs, Python, Java, SQL, DB2, Data Engineering, Databricks, Talend ETL, Apgar Data Catalog, Informatica MDM, Azure Data Services, Oracle Databases, and Tibco Data Virtualization.
- Proven involvement in digitalization programs and the development of enterprise-wide IT solutions.
- Highly desirable to possess functional knowledge of SAP S/4HANA data and analytics solutions.
- Ability to assess both traditional and modern data architecture components based on business needs.
- Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings
- Possess strong interpersonal skills to collaborate effectively with diverse teams, articulate complex technical concepts to non-technical stakeholders, and facilitate discussions across departments and with vendors.
- Interpersonal skills, including teamwork, leadership, and adaptability to address evolving organizational needs in the realm of IT technology.
- Proficiency in Dutch at a professional level is preferable.
This role is an exciting opportunity for the right individual to contribute towards shaping TSN’s sustainable steel-making future, by providing architectural thought leadership on Data Technology.
What's your department?
The role of Technical Architect – Data Technology, is situated within the Technical Architecture team, part of the Enterprise Architecture & Digital Technology Platforms department of the Tata Steel Nederland IT function (TSN IT).
The Enterprise Architecture department oversees the strategic alignment and integration of technology within the organization. Comprising three distinct teams, it includes Technical Architecture, which focuses on the IT Technology; Business & Application Architecture, which aligns technology with business objectives and processes; and Digital Platform Technology, responsible for developing and maintaining digital platforms and solutions. Together, these teams collaborate to ensure that the organization's technology landscape supports its overall goals, enhances efficiency, and drives innovation.
The Technical Architecture team develops and maintains a coherent technical architecture and a consistent set of technical standards, policies and guidelines, aligned to the Enterprise Architecture direction for Tata Steel Nederland (TSN). The team’s objective is to design the future, and optimise the existing, technical landscape, to ensure that it is secure, sustainable, and sufficiently agile, to meet the evolving application, data, and collaboration requirements. The team is comprised of specialist architects, with deep knowledge of technologies, capabilities and trade-offs, in various technical domains such as; Analytics, AI, SAP Technology, Container, Application Development, Application Automation, Digital Workplace, Software Generated AI, Application Integration, Network, Security Technology, Core Infrastructure and Identity & Access Management.
- Leveranciers van kandidaten behoren op de hoogte te zijn van de geldende wet- en regelgeving op het gebied van arbeidsvoorwaarden en de (Tata
- Bij het aanbieden van kandidaat gaan wij ervan uit dat u akkoord bent met de voorwaarden van deze specifieke klant. Bent u niet bekend met deze
- Pre-employmentscreening: Als de kandidaat mag starten bij de klant, zal er een pre-employmentscreening plaatsvinden. Wij sturen u op dat
- Tarief en functieschaal is afhankelijk van kennis en kunde van kandidaat;
- Een gerichte motivatie wordt op prijs gesteld. Verwerk hierin o.a. Waarom wil je aan de slag bij Tata Steel? & Wat spreekt je aan in de
Voor deze functie zijn onderstaande inhuurconstructies mogelijk:
- Deta-vast: Kosteloze overname na 1800 uur. Kandidaat dient te voldoen aan minimaal de gevraagde diploma eis.
Certificaten:
- Voor kandidaten in Loondienst en ZZP'ers: VCA VOL;
Duur: Z.S.M. - 1 JUN 2025 met optie op verlenging
Standplaats: niet gespecificeerd
ZZP: niet toegestaan
Aanbieden kan tot: 1 jun. 2024 18:00
Functie Eisen
The ideal candidate will possess in-depth knowledge of various Data technologies while also demonstrating a commitment to staying up-to-date with the latest developments and demonstrating flexibility and eagerness to learn.Is this you?
- You will have a degree (ideally masters), in Information Technology, Computer Data Science, Data and Analytics, or a related field.
- You will have at least 5 years of full-time, professional experience where the major duties include information modelling and information flow management, database design, team management/leadership, data operations, maintenance, ETL, and automation.
- Ability to guide solution design and architecture aligning with business requirements.
- Possess a comprehensive understanding of most common data modelling concepts applied in data warehousing, along with proficiency in modelling tools such as ER/Studio, SPARX SQL Database Modeler, or equivalent.
- Familiarity and hands-on experience with a range of technologies, including Microsoft Azure SQL, Microsoft Azure Data Lake Storage, APIs, Python, Java, SQL, DB2, Data Engineering, Databricks, Talend ETL, Apgar Data Catalog, Informatica MDM, Azure Data Services, Oracle Databases, and Tibco Data Virtualization.
- Proven involvement in digitalization programs and the development of enterprise-wide IT solutions.
- Highly desirable to possess functional knowledge of SAP S/4HANA data and analytics solutions.
- Ability to assess both traditional and modern data architecture components based on business needs.
- Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings
- Possess strong interpersonal skills to collaborate effectively with diverse teams, articulate complex technical concepts to non-technical stakeholders, and facilitate discussions across departments and with vendors.
- Interpersonal skills, including teamwork, leadership, and adaptability to address evolving organizational needs in the realm of IT technology
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