We are looking for an experienced and accomplished Lead Data Software Engineer with a strong background in full-stack development and a leadership-driven mindset, complemented by an automation-first approach to engineering within a modern cloud data warehouse stack (BigQuery/Databricks).

In this role, you will guide the design and development of scalable, production-grade data infrastructure while mentoring and coordinating with Engineers, Data Analysts, and Data Scientists to deliver actionable real-time insights and empower senior leadership to make data-driven decisions. The ideal candidate combines technical expertise with leadership qualities, thrives in a code-driven environment, and is deeply committed to automation, system performance, and clean coding practices.

We accept CVs in English only.

Responsibilities

• Lead the design and development of high-performance, fault-tolerant data pipelines using Python and SQL, prioritizing scalability, efficiency, and automation
• Oversee the architecture and implementation of end-to-end, production-grade data systems, integrating ingestion, transformation, and model deployment workflows into robust solutions
• Take ownership of building and maintaining real-time streaming pipelines and batch data workflows leveraging BigQuery/Databricks, Apache Airflow, and DBT
• Establish and advocate for clean, modular code standards with a focus on reusability and automating manual data engineering tasks
• Collaborate actively with cross-functional teams to drive the translation of complex business requirements into scalable technical solutions, with an emphasis on automation and operational excellence
• Design and implement advanced tools for monitoring, logging, and alerting to enhance the reliability and scalability of data infrastructure
• Work closely with application development teams to align backend system workflows with broader business logic and software components
• Lead discussions and decision-making processes regarding architecture, pipelines, and cloud infrastructure in data engineering initiatives
• Mentor and guide junior and senior engineers, fostering a culture of technical growth, knowledge sharing, and continual improvement within the team
• Identify and resolve bottlenecks in data workflows while proactively improving system performance and scalability

Requirements

• BS/MS in Computer Science, Software Engineering, or a related field
• 5+ years of experience in production-grade data engineering, with a focus on full-stack development and automation
• At least 1 year of relevant leadership experience
• Advanced proficiency in Python, SQL, and data processing frameworks such as Spark/PySpark for large-scale data systems
• Deep expertise in modern Cloud Data Warehousing tools like BigQuery or Databricks, coupled with a strong understanding of cloud-native architectures (AWS/GCP/Azure)
• Proven hands-on experience with CI/CD pipelines, version control (Git), and advanced testing frameworks
• Advanced-level familiarity with containerization (Docker) and orchestration technologies (Kubernetes) to scale data applications in distributed environments
• Extensive experience with workflow orchestration tools such as Apache Airflow and DBT for automating complex workflows
• In-depth knowledge of event-driven architectures and streaming systems (e.g., Kafka, Kinesis) to support real-time data applications
• Strong background in Agile, DevOps, or DataOps methodologies, including hands-on use of infrastructure-as-code tools like Terraform or Pulumi
• Exceptional communication, collaboration, and leadership skills, aligning with a minimum of an English B2+ proficiency level

Nice to have

• Proficiency in MySQL and experience with visualization platforms like Looker/Tableau, or large-scale analytics tools such as Amplitude, Snowplow, or Segment
• Proven cloud DevOps experience in managing infrastructure and deployments on platforms like AWS, GCP, or Azure
• Fundamental Linux/Unix system administration and shell scripting skills
• Practical knowledge of machine learning pipelines, MLOps techniques, and the deployment of ML models into production
• Experience delivering real-time analytics solutions using streaming technologies like Apache Flink or Spark Streaming

We offer

• Learning Culture - We want you to be the best version of yourself, that is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally
• Health Coverage - Health and wellness are important, that is why we have you and up to four family members in a premiere health plan. We have a couple of options, so you can choose what is best for you and your family
• Visual Benefit - Seeing your work for us would be a sight for sore eyes. We want your vision to always be at 100% which is why we offer up to $200.000 COP for any visual health expenses
• Life Insurance Plan - We have partnered with MetLife to offer a full-coverage Ife insurance plan. So, your family is covered, even if you are gone
• Medical Leave Coverage - We are one of the few companies that cover 100% of your medical leave, for up to 90 days. Your health is the most important thing to us
• Professional Growth Opportunities - We have designed a highly competitive and complete development process, where you will have all the tools to get where you have always wanted to be, personally and professionally
• Stock Option Purchase Plan - As an EPAMer you can be more than just an employee, you will also have the opportunity to purchase stock at a reduced price and become a part owner of our organization
• Additional Income - Besides your regular salary, you will also have the chance to earn extra income by referring talent, being a technical interviewer, and many more ways
• Community Benefit - You will be part of a worldwide community of over 50,000 employees, where you can learn, challenge yourself, stand out, and share your knowledge and experience with multicultural teams!

Please note that even though you are applying for this position, you may be offered other projects to join within EPAM.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.