Senior Data Platform Engineer

Dataroles; Colombia; A distancia; COP 383.939.000 - 575.908.000; Jornada completa

Descripción de la vacante

Render is hiring a Senior/Staff Data Engineer to lead the data platform and shape the analytics infrastructure for trusted data. You will work across the data stack, collaborate with analytics, scientists, and engineers, and guide architectural decisions to enable AI-ready data workflows.

You will mentor engineers, drive testing and observability, and raise the bar for data systems at scale, helping the team deliver high-quality data products across the organization.

Formación

• 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field.
• Deep expertise in modern cloud data warehouses such as BigQuery, Databricks, or Snowflake, including data modeling, query performance, cost management, and access control.
• Strong Python and SQL skills, with hands-on experience building reliable ingestion and ELT pipelines and maintainable data models.
• Experience operating orchestration platforms such as Prefect, Airflow, or Dagster, including responsibility for deployments, upgrades, workers, and operational reliability.
• Hands-on experience with cloud infrastructure and infrastructure as code, using Terraform or equivalent tools to build predictable, maintainable systems.
• Experience building cloud applications or backend services, including APIs, ingestion services, and event-driven workflows.
• Strong production engineering practices, including testing, logging, alerting, observability, version control, and CI/CD.
• Excellent communication and cross-functional collaboration skills. You can explain technical tradeoffs, build alignment across data, engineering, and business teams, and lead through influence.

Responsabilidades

• Own our Data Platform Engineering architecture. Set technical direction for core data systems, lead design decisions, and deliver reliable production systems.
• Build and operate trusted data pipelines. Develop ingestion services, integrations, and pipelines that deliver accurate, timely data.
• Evolve our orchestration platform. Own workflow execution, worker infrastructure, upgrades, and operational reliability.
• Own warehouse reliability, performance, and access. Improve our BigQuery environment, including query performance, cost efficiency, permissions tooling, and governance.
• Build cloud services and infrastructure. Develop APIs, event-driven ingestion, and reusable services with infrastructure as code.
• Establish engineering standards. Improve version control, CI/CD, testing, documentation, and operational practices across the Data Platform.
• Partner across teams. Collaborate with analytics engineers, analysts, scientists, Engineering, IT, and business teams to clarify requirements and communicate risks.
• Support data science, analytics, and AI workflows. Prepare model-ready datasets and integrate AI and LLM workflows into production.
• Grow the team’s technical capabilities. Mentor data engineers through code review, pairing, design feedback, and coaching.

Conocimientos

Analytics Engineering

Data Engineering

Python

SQL

Airflow

Prefect

Dagster

BigQuery

Databricks

Snowflake

Terraform

dbt

Herramientas

BigQuery

Databricks

Snowflake

Terraform

dbt

Descripción del empleo

Render is hiring a Senior/Staff Data Engineer to lead the data platform and shape the analytics infrastructure for trusted data. You will work across the data stack, collaborate with analytics, scientists, and engineers, and guide architectural decisions to enable AI-ready data workflows.

You will mentor engineers, drive testing and observability, and raise the bar for data systems at scale, helping the team deliver high-quality data products across the organization.