Senior Data Platform Architect – Real-Time Analytics

TelevisaUnivision, Inc; Los Angeles (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Health benefits

401(k)

Tuition reimbursement

PTO

Job summary

TelevisaUnivision, Inc. leads the world’s largest Spanish-language media ecosystem and is expanding ViX’s data platform.

We seek a Principal Data Engineer to shape architecture, lead real-time and batch pipelines, and mentor engineers across teams, ensuring scalable and reliable data infrastructure. You will own platform direction, collaborate with product and analytics, and drive governance, CI/CD, and security across risk and cost scopes.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 12+ years of experience in Data Engineering, Data Warehousing, or Big Data environments.
• 2+ years in a Tech-lead role setting technical direction across teams.
• Demonstrated experience mentoring and developing junior and mid-level engineers.
• Proven track record designing and running real-time data platforms in production at high volume.
• Expert-level experience with GCP: BigQuery, Pub/Sub, Dataflow, Cloud Composer, and Cloud Storage; AWS experience will also be considered.
• Expert-level Python and SQL, and production experience with dbt.
• Deep knowledge of stream processing concepts: event time vs. processing time, windowing, watermarks, exactly-once delivery, and backpressure; Kafka, Flink, or Spark.
• Expert understanding of data modeling for analytics, including dimensional modeling, event modeling, and lakehouse table formats such as Apache Iceberg
• Strong experience with Infrastructure as Code (Pulumi or Terraform), CI/CD, and automated testing for data pipelines.
• Demonstrated ownership of data reliability: SLOs, data observability, incident management, and postmortems
• Demonstrated success reducing cloud data platform cost at scale
• Excellent written, verbal, and presentation skills, including design documents and communication with technical and executive audiences

Responsibilities

• 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 with Product Managers, Data Scientists, Analysts, and Engineering teams to understand requirements and translate them into technical solutions.
• Contribute to data architecture discussions and long-term platform strategy.
• Collaborate with stakeholders to identify opportunities for process improvements and operational efficiencies.
• Performance & Optimization: improve storage, processing, and orchestration for cost efficiency, monitor incidents, and drive postmortems.
• Leadership & Team Contribution: mentor engineers, participate in interviews, and drive adoption of new technologies.

Skills

Python

SQL

Leadership

Mentoring

Communication

Data Modeling

Education

Bachelor's or Master's in CS/Engineering

Equivalent experience

Tools

dbt

Pulumi

Terraform

Airflow

BigQuery

Pub/Sub

Job description

TelevisaUnivision, Inc. leads the world’s largest Spanish-language media ecosystem and is expanding ViX’s data platform.

We seek a Principal Data Engineer to shape architecture, lead real-time and batch pipelines, and mentor engineers across teams, ensuring scalable and reliable data infrastructure. You will own platform direction, collaborate with product and analytics, and drive governance, CI/CD, and security across risk and cost scopes.