Principal Data Engineer (GCP)

Location: Miami, FL, United States; applicants must be currently authorized to work in the United States on a full-time basis.

Company

hirify.global is a Spanish-language media company operating digital, streaming, social, audio, linear television, and live-event platforms, including ViX.

What you will do

• Set the architecture and multi-year technical direction for the ViX data platform.
• Build reusable ingestion templates, dbt and Airflow patterns, frameworks, libraries, and Pulumi infrastructure modules.
• Design and lead real-time Pub/Sub and Dataflow pipelines with event schemas, schema evolution, exactly-once processing, watermarking, and late-data handling.
• Own data pipelines through design, development, testing, deployment, production support, monitoring, and incident resolution.
• Optimize BigQuery storage, processing, orchestration, scalability, and cloud platform costs while ensuring data quality, security, availability, governance, observability, testing, and CI/CD.
• Partner with Product, Data Science, Analytics, and Engineering; mentor engineers, conduct technical interviews, lead postmortems, and evaluate AI-assisted engineering and LLM-enabled data tooling.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent experience.
• 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, with demonstrated mentoring of junior and mid-level engineers.
• Experience designing and running high-volume real-time production data platforms, including environments processing billions of events per day.
• Expert-level GCP experience with BigQuery, Pub/Sub, Dataflow using Apache Beam, Cloud Composer using Airflow, and Cloud Storage; AWS experience is also considered.
• Expert Python and SQL skills with production dbt experience.
• Deep knowledge of stream processing, including event time, processing time, windowing, watermarks, exactly-once delivery, and backpressure, plus Kafka, Flink, or Spark.
• Expert data modeling knowledge for analytics, including dimensional modeling, event modeling, and lakehouse formats such as Apache Iceberg.
• Strong Infrastructure as Code experience with Pulumi or Terraform, CI/CD, and automated testing for data pipelines.
• Experience with data reliability, SLOs, data observability, incident management, postmortems, and reducing cloud data platform costs at scale.
• Excellent written, verbal, and presentation skills for design documents and technical and executive communication.
• Current full-time authorization to work in the United States; employment and education will be verified.

Nice to have

• Experience in subscription, streaming video, OTT, media, or sports organizations, including playback quality, engagement, and ad-supported data.
• Experience supporting machine learning and data science workloads, including feature pipelines, real-time features, recommendation, and personalization data.
• Experience with data contracts, schema registries, and data catalog or lineage tools.

Culture & Benefits

• Mentoring, knowledge sharing, and continuous improvement are emphasized.
• Benefits include paid time off, tuition reimbursement, wellness and employee support programs.
• Benefits include a 401(k), life and other insurance plans, and medical, dental, and vision coverage.
• Equal opportunity employment is provided.