The Role
Lead data engineering and architecture efforts: triage requirements, define and enforce modelling standards (3NF, Dimensional, Data Vault), design end-to-end data warehouse and analytics architectures on cloud platforms like Snowflake, govern centralized models, guide engineering and product stakeholders, and drive adoption of scalable analytics and machine learning practices.
Summary Generated by Built In
As a Data Engineering Manager , you will:
- Work closely with Product Owners, Engineering teams, and Architecture communities to ensure data solutions align with business requirements and strategic objectives.
- Triage new data and analytics requirements, assess architectural and modelling impacts, and provide delivery estimates.
- Oversee the development and enhancement of business and physical data models, ensuring consistency and alignment across delivery teams.
- Act as the custodian of data models, owning modelling standards, principles, and governance.
- Define and enforce data architecture and modelling best practices, including 3NF, Dimensional, and Data Vault methodologies.
- Design and guide end-to-end data warehousing and analytics architectures.
- Ensure data solutions align with the target-state architecture, supported by clear documentation and centralized model management.
- Drive adoption of modern data design practices, incorporating industry advancements such as machine learning and scalable analytical techniques.
- Influence and guide Engineering and Product Management stakeholders on architectural decisions and priorities.
What You Bring to the Table:
- 10+ years of experience in data engineering leadership, data architecture, or data modelling roles.
- Strong background in program management within data and analytics initiatives.
- Deep expertise in data architecture, data warehousing, and analytic end-to-end design.
- Strong experience working with large, complex data environments.
- Proficiency with Snowflake and modern cloud data platforms.
- Solid understanding of Data Vault architecture and scalable analytics patterns.
- Awareness of modern data trends, including machine learning and algorithmic techniques at scale.
You Should Possess the Ability to:
- Balance strategic architectural vision with delivery-focused execution.
- Evaluate changing requirements and guide teams toward optimal design decisions.
- Foster collaboration across engineering, product, and architecture communities.
- Drive continuous improvement in data design, quality, and scalability.
- Translate business needs into structured data solutions that enable analytics and insights.
What We Bring to the Table:
- Opportunity to lead large-scale, high-impact data programs.
- Exposure to modern data platforms and advanced modelling techniques.
- A collaborative environment that values architectural excellence and governance.
- The ability to influence enterprise data strategy and long-term architecture.
- A role combining technical leadership, program management, and strategic decision-making.
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 in data engineering leadership, data architecture, or data modelling roles.
- Strong background in program management within data and analytics initiatives.
- Deep expertise in data architecture, data warehousing, and end-to-end analytic design.
- Experience working with large, complex data environments.
- Proficiency with Snowflake and modern cloud data platforms.
- Solid understanding of Data Vault architecture and scalable analytics patterns.
- Awareness of modern data trends, including machine learning and algorithmic techniques at scale.
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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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