LEAD DATA ENGINEER

Este es un puesto de trabajo remoto.

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

• Design and develop data pipelines using tools like Fivetran, dbt, Apache Spark, and Airflow to ensure high-performance, reliable data flow.

• Architect and manage data lakes and cloud data warehouses (e.g., BigQuery, Redshift, Snowflake, Databricks).

• Build and optimize streaming pipelines with GCP Pub/Sub, Kafka, or AWS SNS to support real-time analytics and personalization.

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

• Collaborate with Product, Engineering, and Data Science teams to deliver data-driven insights powering personalization, predictive modeling, and segmentation.

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

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

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

• Maintain high standards for data quality, governance, and compliance with industry regulations.

Requisitos

Hard Skills

• Batch and streaming data architectures.

• Building scalable ETL/ELT pipelines.

• Python and 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 in data engineering , with deep expertise in both batch and streaming data architectures.

• Proven experience building scalable ETL/ELT pipelines and distributed data processing frameworks.

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

• Hands-on experience with cloud-based data platforms such as BigQuery, Snowflake, Redshift, or Databricks.

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

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

• Background in multi-tenant SaaS architectures is 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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