Principal senior data engineer manager

This role combines technical leadership,platform architecture,and hands-on engineering, with responsibility for driving data strategy, governance, scalability, and operational excellence. Ideal candidates will have experience owning enterprise data platforms, leading engineering teams, and delivering modern data architectures that support business-critical decision-making in complex, global environments.

About the Role

We are looking for a Principal Data Engineer (Tech Lead) to lead the evolution of a large-scale enterprise Data Platform within a global organization. This is a senior technical leadership role that combines people management, platform architecture, data strategy, and hands-on engineering.

You will be responsible for driving the vision, scalability, reliability, and adoption of the company's Data Platform, enabling critical business functions through trusted, high-quality, and accessible data. This role requires someone who can operate at both strategic and technical levels while leading engineering teams in complex, enterprise-scale environments.

Key Responsibilities

• Lead and mentor a team of Data Engineers, fostering technical excellence and engineering best practices.
• Define and drive the roadmap for the enterprise Data Platform, ensuring scalability, reliability, security, and operational excellence.
• Design and evolve modern data architectures, including Lakehouse, Data Mesh, CDC, and event-driven patterns.
• Own platform governance, data quality, observability, metadata management, and platform operations.
• Partner with business and technology stakeholders to translate strategic objectives into scalable data solutions.
• Drive adoption of self-service data capabilities and support the development of data products across multiple domains.
• Establish engineering standards, CI/CD practices, infrastructure automation, and platform monitoring frameworks.
• Remain hands-on when needed, contributing to architecture decisions, troubleshooting, and technical delivery.

Required Experience

• 7+ years of experience in Data Engineering.
• 3+ years leading Data Engineering teams in enterprise environments.
• Proven experience designing, building, and operating Data Platforms at scale.
• Strong understanding of Data Governance, Data Quality, Metadata Management, and Platform Operations.
• Experience working with large and complex data ecosystems supporting global organizations.
• Strong stakeholder management and communication skills, with the ability to influence across technical and business teams.

Technical Environment

• Cloud Platforms: GCP (preferred), AWS, or Azure
• Data Warehousing: BigQuery, Snowflake, Databricks
• Programming: Python, SQL
• Transformation: dbt, Dataform
• Infrastructure as Code: Terraform
• Data Technologies: Spark, Airflow, CDC, Streaming Architectures
• Modern Architecture Patterns: Data Mesh, Lakehouse, Event-Driven Architectures

What We're Looking For

This role is ideal for someone who has moved beyond traditional Data Engineering and has experience owning enterprise-scale Data Platforms, driving platform strategy, and leading engineering teams in highly complex environments. Experience in Supply Chain, Logistics, Industrial, Manufacturing, Consumer Goods, or other data-intensive industries is highly valued.