LEAD DATA ENGINEER

Este es un puesto de trabajo remoto.

• Lead the design and implementation of a scalableCustomer Data Platform (CDP)integrating batch and real-time data from multiple sources (DMS, CRMs, social networks, web traffic).

• Design and developdata pipelinesusing tools likeFivetran,dbt,Apache Spark, andAirflowto ensure high-performance, reliable data flow.

• Architect and managedata lakesandcloud data warehouses(e.g., BigQuery, Redshift, Snowflake, Databricks).

• Build and optimizestreaming pipelineswithGCP Pub/Sub,Kafka, orAWS SNSto support real-time analytics and personalization.

• Develop integrations withCustomer Data Platforms (CDPs)such as Twilio Segment or RudderStack and connect with marketing automation systems.

• Collaborate with Product, Engineering, and Data Science teams to deliverdata-driven insightspowering personalization, predictive modeling, and segmentation.

• Ensure strong alignment between data initiatives and theproduct roadmap, prioritizing data products that deliver measurable customer impact.

• Define architecture and strategy formulti-tenant SaaS data solutions, ensuring scalability, reliability, and data security.

• Drive adoption of modern technologies andbest practices in data engineering, promoting a culture of technical excellence.

• Maintain high standards fordata quality, governance, and compliancewith industry regulations.

Requisitos

Hard Skills

• Batch and streaming data architectures.

• Building scalableETL/ELT pipelines.

• Pythonand experience in modern ETL tools (e.g. GCP Cloud Dataflow, Fivetran, dbt, Apache Spark).

• Cloud-based data platforms (e.g. BigQuery, Snowflake, Redshift, or Databricks).

• Customer Data Platforms (CDPs) (e.g. Twilio Segment or RudderStack).

• GCP.

Soft Skills

• Excellent communication skills and a collaborative.

• Leadership.

• Poblem-solving mindset.

• Mentoring and promoting best practices across teams.

• Adaptability and proactive learning attitude.

Knowledge and experience

• 8+ years of professional experience indata engineering, with deep expertise in both batch and streaming data architectures.

• Proven experience building scalableETL/ELT pipelinesand distributed data processing frameworks.

• Strong proficiency inPythonand modern ETL tools (GCP Cloud Dataflow, Fivetran, dbt, Apache Spark).

• Hands-on experience withcloud-based data platformssuch as BigQuery, Snowflake, Redshift, or Databricks.

• Solid understanding ofCustomer Data Platforms (CDPs)like Twilio Segment or RudderStack.

• Experience withstreaming technologies(GCP Pub/Sub, Kafka, AWS SNS) is highly desirable.

• Background inmulti-tenant SaaS architecturesis a strong plus.

Professional Fields

• Software Development.

• Data Science.

• Related fields.

Ventajas

• USA Contractor

• 100% Remote

• Holidays Off

• Paid Time Off

• Health Insurance Assistance Program

• Excellent teamwork and work environment

• Training and upskilling opportunities

• High-impact role shaping the company’s data ecosystem and AI capabilities

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