Principal Data Engineer

ABOUT

THE ROLE & TEAM:

At Televisa Univision, we are the world's leading Spanish-language media company, reaching millions of consumers across digital, streaming, social, audio, linear television, and live events. As we continue expanding our global streaming platform, ViX, we are investing heavily in technology, data, and innovation to deliver exceptional subscriber experiences and drive long-term business growth.

The Data Engineering team designs, builds, and operates the high-volume, high-velocity data pipelines that power ViX, including playback and engagement events, subscription data, advertising data, and the analytics data warehouse that turns them into business decisions. The team works closely with Engineering, Product, Data Science, and Analytics teams across Televisa Univision.

The Principal Data Engineer will play a key role as a technical leader in the design, development, and deployment of our data platform. You will be critical in setting the architecture and multi-year technical direction for our data platform, stay hands-on with the hardest real-time and batch data problems, and mentor junior and mid-level engineers to raise the engineering bar across the team.

The ideal candidate pairs deep hands-on expertise in streaming and distributed data systems with the judgment to make long-lived platform decisions, the influence to align teams without direct authority, and a genuine commitment to growing other engineers.

About You You are a hands-on technical leader who designs platforms, not just pipelines. You are equally comfortable writing production code, defending an architecture in a design review, pairing with a junior engineer on a tricky problem, and explaining trade-offs to executives.

You bring:

Expert-level knowledge of Google Cloud Platform data services, especially Big Query, Pub/Sub, Dataflow (Apache Beam), Cloud Composer, and Cloud Storage Deep experience designing real-time and event-driven architectures with exactly-once semantics, late-arriving data, and schema evolution

Mastery of Python and SQL, and data transformation frameworks such as dbtA track record of setting technical direction for a platform used by many teams, and seeing it through multi-quarter delivery
· Experience with Infrastructure as Code (IaC) tools such as Pulumi or Terraform
· Excellent problem-solving skills with the ability to design scalable and efficient solutions
· Strong attention to detail and the ability to manage multiple priorities effectively
· Outstanding communication and collaboration skills, with the ability to partner across technical and non-technical teams
· A continuous improvement mindset and passion for mentoring and knowledge sharingA passion for mentoring junior engineers and building a strong engineering culture

Your Day-to-Day (Responsibilities)
Data Platform Architecture, Development & Technical Strategy
· Build reference implementations, frameworks, and reusable libraries that other engineers adopt, covering ingestion templates, dbt and Airflow patterns, and IaC modules in Pulumi Lead the design of real-time pipelines on Pub/Sub and Dataflow, including event schemas, schema registry and evolution, exactly-once processing, watermarking, and late-data handling
· Own assigned pipelines end to end, from design and development through testing, deployment, and production support
· Ensure data quality, integrity, security, and availability across the data ecosystem

Cross-Functional Collaboration
· Partner with Product Managers, Data Scientists, Analysts, and Engineering teams to understand business requirements and translate them into technical solutions
· Contribute to data architecture discussions and long-term platform strategy
· Collaborate with stakeholders to identify…