We are in search of a highly motivated and visionary Chief Data Software Engineer to design, strategize, and architect scalable data solutions on modern cloud platforms like BigQuery or Databricks.

In this role, you will lead and inspire teams of Data Engineers and Data Architects, set the strategic direction for enterprise data infrastructure, and champion an automation-first and innovation-driven culture. The Chief Data Software Engineer will be accountable for aligning data engineering initiatives with organizational goals, driving technical excellence, and unlocking impactful business insights.

We accept CVs in English only.

Responsibilities

• Define and lead the strategic roadmap for data engineering, focusing on scalability, efficiency, and innovation in line with organizational objectives
• Build and oversee a high-performing team of Data Engineers, Data Architects, and Technical Leads, fostering leadership and technical growth across all levels
• Design and implement enterprise-scale data pipeline architectures using Python, SQL, and modern data engineering practices, ensuring automation-first development
• Drive enterprise-wide initiatives for building and maintaining robust batch and real-time data processing solutions using BigQuery, Databricks, Apache Airflow, and DBT
• Architect and champion end-to-end data infrastructure solutions, embedding CI/CD and DevOps automation principles into development processes
• Establish and enforce best practices for clean, reusable, and scalable code while enabling resilience and fault tolerance in enterprise data systems
• Oversee the integration of data workflows with full-stack development, bridging business applications, machine learning workflows, and advanced analytics
• Implement advanced monitoring, observability, and alerting systems for proactive identification and resolution of issues in data infrastructure
• Collaborate with executive leadership and cross-functional teams to tackle complex technical challenges and align data engineering practices with business growth strategies
• Develop and oversee self-service tools, APIs, and automation frameworks to democratize data accessibility and usability across the organization
• Optimize the performance, security, and cost-efficiency of enterprise data systems and pipelines deployed on cloud platforms
• Develop and implement enterprise-grade data governance, ensuring secure, compliant, and quality-driven data handling across the organization

Requirements

• BS/MS/PhD in Computer Science, Software Engineering, or a related technical field
• 7+ years of experience in production-grade data engineering and software development with demonstrated expertise in enterprise architectures and automation practices
• 2+ years of leadership experience (team up to 10 FTEs)
• Deep expertise in software engineering principles, including version control (Git), CI/CD workflows, testing frameworks, and agile methodologies
• Proven expertise in Python, SQL, and modern cloud data platforms such as Databricks and BigQuery
• Extensive experience designing and managing cloud-native architectures on AWS, GCP, or Azure, with a primary focus on complex data ecosystems
• Proficiency with containerization and orchestration technologies like Docker and Kubernetes, enabling scalable and efficient workflows
• Advanced capability to implement and manage distributed pipeline orchestration tools such as Apache Airflow, DBT, or similar platforms
• Expert-level skills in building enterprise-grade APIs, microservices, and event-driven architectures for data workflows and analytics solutions
• Comprehensive understanding of enterprise DataOps and DevOps practices, including the use of infrastructure-as-code (Terraform, Pulumi) and automation workflows
• Significant knowledge of event streaming platforms such as Kafka or Kinesis for large-scale, real-time data solutions
• Proven success in creating and deploying frameworks for automated data governance, quality assurance, and enterprise data products
• Exceptional communication skills, with English proficiency at a C1 level or higher

Nice to have

• Experience with advanced analytics platforms, data visualization tools (e.g., Looker, Tableau), or customer data platforms like Amplitude or Segment
• Background in architecting and operationalizing MLOps workflows for machine learning models and AI-driven solutions
• Expertise in real-time analytics systems, data streaming technologies, and low-latency application design
• Proficiency in Linux/Unix system administration and advanced shell scripting
• Advanced skills using cloud-native DevOps tools and frameworks for CI/CD, performance monitoring, and infrastructure automation solutions

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.