Principal Data Engineer

Principal Data Engineer

Our partner is a dynamically growing company with a strong international background, leveraging data-driven operations to support advanced analytics and AI/ML-based business processes. Working in a modern technology environment, the company places a strong emphasis on the development and operation of scalable data platforms that drive innovation and business value.

We are looking for a Principal Data Engineer to join their expanding team.

What we're looking for

• 8+ years of hands-on Data Engineering/Data Architecture experience, including 3+ years at Staff, Principal, or Architect level.
• Deep expertise in Databricks Lakehouse on AWS and modern cloud-native data platforms.
• Proven track record of designing, building, and scaling production data platforms.
• Strong knowledge of data modeling (Dimensional, Data Vault, Lakehouse).
• Experience implementing data quality, observability, governance, and automated testing frameworks.
• Background supporting analytics, AI, and ML-driven organizations.
• Hands-on experience with cloud cost optimization (FinOps).
• Proficiency with Infrastructure as Code (Terraform, CloudFormation, Databricks Asset Bundles).

Your responsibilities

• Architect and deliver enterprise-scale data solutions on AWS and Databricks, ensuring high performance, reliability, scalability, and cost efficiency.
• Translate data strategy into technical execution, creating architecture blueprints, standards, and implementation roadmaps for engineering teams.
• Lead the design of core data platform components, including ingestion frameworks, transformation layers, data quality controls, and data serving solutions.
• Establish and enforce data architecture standards, modeling practices, governance policies, and engineering best practices across the organization.
• Provide technical leadership through architecture reviews and serve as the go-to expert for complex technical and design decisions.
• Design and optimize Delta Lakehouse environments, including Medallion Architecture, partitioning strategies, performance optimization, and Unity Catalog governance.
• Enable AI and ML initiatives by building data platforms that support feature stores, training datasets, and model-serving infrastructure.
• Drive data platform cost optimization (FinOps) through efficient compute, storage, and query design.
• Evaluate emerging technologies and recommend innovations based on practical prototyping and benchmarking.
• Mentor and guide engineers through architectural coaching, code reviews, and technical best practices.

What our partner offers

Hybrid working model

Flexible working environment

International and innovative technology landscape

Opportunity to work on exciting and complex projects

Ready for your next challenge?

If you're passionate about designing and scaling modern data platforms, driving architectural excellence, and building the foundation that powers analytics, AI, and machine learning solutions, we'd love to hear from you.