Lead Data Architect

Description

Principal Data Engineer – Partnership Intelligence

We are seeking a Principal Data Engineer to join our Measurement team within the Partnership Intelligence Platform. This is a senior individual contributor role focused on driving technical excellence, architectural direction, and long-term platform strategy.

You will bring deep expertise in managing AWS services and technologies such as Airflow, Snowflake, MS SQL Server, and .NET, as well as experience designing and scaling complex, distributed data systems. As a key technical leader, you will help define the future of our data platform and work closely with teams in North America and India to ensure global alignment on technical direction, data architecture, and engineering best practices.

About the Role

As a Principal Data Engineer, you will be a technical thought leader and hands-on architect, driving the design and implementation of robust, high-performance data systems that power analytics and insights across the organization.

You will provide technical oversight, influence the data ingestion platform roadmap, and collaborate with cross-functional partners to ensure our data ecosystem is scalable, reliable, and aligned with global business goals.

This role is ideal for someone who combines deep technical skill with strategic vision and enjoys mentoring and elevating the technical bar across engineering teams.

Key Responsibilities

• Serve as a technical authority on data architecture, data modeling, and pipeline design, ensuring scalability, reliability, and maintainability across the platform.
• Define and guide the long-term architectural vision for our data platform and services, collaborating closely with product and engineering leadership.
• Partner with North American engineering and product teams to ensure global consistency in technical direction, design standards, and implementation patterns.
• Provide technical mentorship and oversight, guiding engineers on complex design and implementation challenges.
• Lead architectural design reviews and contribute to defining standards and best practices for data engineering across teams.
• Design and implement large-scale, high-performance data pipelines, ensuring efficient data flow, transformation, and quality assurance.
• Contribute to our DevOps culture, ensuring our solutions are observable, secure, and resilient in production.
• Stay current with emerging technologies and trends, proactively identifying opportunities to evolve our data architecture and toolset.
• Partner with cross-functional teams (Product Management, Data Science, Analytics, and Infrastructure) to align on data strategy, governance, and technical priorities.

Requirements

Experience

Technical Skills

Soft Skills