Job Description

We are looking for a Big Data Manager / Data Engineering Lead with 8+ years of experience in Data Engineering, Big Data, or Data Warehousing to lead the design and delivery of enterprise-scale, cloud-native data solutions on Microsoft Azure.

This is a hands-on technical leadership role focused on Azure Databricks, Azure Data Lake Storage (ADLS), Apache Spark, Scala, SQL, and streaming technologies. You will lead a team of 3–4 Data Engineers, providing technical direction, design guidance, code reviews, mentoring, and delivery oversight while remaining close to solution architecture and engineering.

Qualifications

Skills & Experience

• 8+ years of hands-on experience in Data Engineering, Big Data Engineering, Data Warehousing development, or related data-platform engineering, including delivery of production data solutions.
• Strong hands-on expertise with Azure Databricks, Apache Spark, ADLS, Scala, and SQL, including Spark performance optimization and SQL transformation/tuning.
• Proven experience designing and implementing enterprise-grade ETL/ELT pipelines,



including reusable ingestion and data transformation patterns.
• Strong understanding of batch and streaming architectures, including Spark Structured Streaming or comparable streaming implementation patterns.
• Demonstrated experience leading and mentoring a small engineering team, with the ability to manage 3–4 Data Engineers, guide technical decisions, review code/designs, unblock engineers, and maintain delivery accountability.
• Experience translating business and technical requirements into solution designs and technical designs, including appropriate consideration of scalability, reliability, performance, maintainability, and data quality.
• Experience working within Agile delivery models and collaborating across engineering, architecture, data, QA, and client/business stakeholder groups.
• Working knowledge of CI/CD, testing, source control, observability, logging/monitoring, deplo

📌 Manager Data Engineer (Bogotá)
🏢 Publicis Sapient
📍 Bogotá