The Role
Design and govern enterprise-scale data architectures and models, lead data modelling standards (3NF, Dimensional, Data Vault), design end-to-end analytical and data warehousing solutions on cloud platforms (Snowflake), collaborate with product and engineering teams, and promote best practices and innovation including machine learning at scale.
Summary Generated by Built In
As a Solution Architect, you will:
- Design, build, and govern enterprise-scale data architectures and data models that align with business and analytical requirements.
- Work closely with Product Owners, Engineering teams, and Architects to deliver optimal, future-ready data solutions.
- Develop, enhance, and maintain business and physical data models, ensuring alignment across delivery teams.
- Act as the custodian of data models, owning modelling standards, principles, and best practices.
- Define and enforce data modelling methodologies, including 3NF, Dimensional, and Data Vault.
- Design end-to-end analytical and data warehousing architectures supporting reporting and advanced analytics.
- Ensure solutions align with the target-state architecture while being well-documented and centrally managed.
- Collaborate with the broader architecture community to promote standardization, alignment, and innovation.
- Drive data design best practices by incorporating modern industry advancements, including machine learning and scalable algorithmic techniques.
What You Bring to the Table:
- 10+ years of experience as a Data Architect, Solution Architect, or Senior Data Modeller.
- Deep expertise in data architecture, data warehousing, and analytical end-to-end design.
- Strong hands-on experience with data modelling methodologies: Third Normal Form (3NF), Dimensional Modelling, Data Vault
- Proven experience working with large, complex, and high-volume data sets.
- Strong proficiency in Snowflake and modern cloud-based data platforms.
- Solid understanding of Data Vault architecture and implementation principles.
- Awareness of modern data engineering and analytics trends, including machine learning at scale.
You Should Possess the Ability to:
- Design scalable, maintainable, and business-aligned data architectures.
- Assess the impact of changing requirements and recommend optimal design solutions.
- Balance short-term delivery needs with long-term architectural vision.
- Clearly communicate complex architectural concepts to technical and non-technical audiences.
- Collaborate effectively with engineering, product, and architecture communities.
What We Bring to the Table:
- Opportunities to work on large-scale, complex data ecosystems.
- Exposure to cutting-edge data architecture and modelling practices.
- A collaborative environment that values architectural excellence and innovation.
- The chance to influence enterprise-level data strategy and design standards.
Let’s Connect
Want to discuss this opportunity in more detail? Feel free to reach out.
Recruiter: Hema Murali
Phone: +31 20 369 0609 ; Extn :132
LinkedIn: https://www.linkedin.com/in/hema-murali-315999329/
Skills Required
- 10+ years of experience as a Data Architect, Solution Architect, or Senior Data Modeller
- Deep expertise in data architecture, data warehousing, and analytical end-to-end design
- Strong hands-on experience with data modelling methodologies: Third Normal Form (3NF), Dimensional Modelling, Data Vault
- Proven experience working with large, complex, and high-volume data sets
- Strong proficiency in Snowflake and modern cloud-based data platforms
- Solid understanding of Data Vault architecture and implementation principles
- Awareness of modern data engineering and analytics trends, including machine learning at scale
- Ability to communicate complex architectural concepts to technical and non-technical audiences
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The Company
What We Do
STAFIDE is a Netherlands-based niche technology talent consulting company operating across Europe. It helps organizations identify, recruit, and deploy technology professionals in areas including cybersecurity, cloud engineering, software development, data analytics, ERP, infrastructure, and digital transformation. Its services include recruitment, workforce engagement, secondment, onboarding support, workforce deployment, and workforce analytics that support technology hiring and expansion.
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