Data Engineering Manager (ID:3417)

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.