Lead Data Software Engineer

EPAM Systems; Argentina; Hybrid; ARS 136,430,000 - 197,065,000; Full time

Benefits offered by this job

Healthcare benefits

Global career opportunities

LinkedIn Learning access

Job summary

EPAM Systems in Argentina is seeking a Lead Data Software Engineer to join our team. This role blends hands-on technical work with leadership, shaping data architecture and driving delivery on critical initiatives.

You will collaborate with stakeholders and engineering squads to ensure scalable, reliable data solutions and timely outcomes, while guiding junior engineers and delivering on complex data platforms.

Qualifications

• 5+ years of experience in a similar position.
• At least 1 year of experience leading and managing teams.
• Solid command of core Python for data engineering purposes.
• Proficient in SQL for querying and processing data.
• Hands-on experience with Apache Spark for large-scale data processing.
• Familiarity with Anthropic Claude Code.
• Excellent English proficiency (B2 level or higher).

Responsibilities

• Develop and preserve the codebase supporting ETL and ELT pipelines, together with large batch, micro-batch, and streaming systems.
• Set up the infrastructure required to pull, transform, and load data efficiently from a variety of sources using ADF, Spark, Kafka, or comparable technologies.
• Identify, plan, and roll out internal process improvements, such as automating manual tasks, improving data delivery, and modifying infrastructure to increase scalability.
• Architect and release data services solutions using technologies such as Spring Boot, ReactJS, NoSQL, and other related UI and API tools.
• Maintain governance across delivery management and production processes, aligned with the chosen delivery model.
• Act as the key contact for delivery-related matters with senior leadership and stakeholders, covering escalations, upsells, and ramp-downs.
• Provide technical direction throughout the delivery process, keeping the architecture solid and forward-thinking while ensuring implementation meets quality expectations.
• Write user stories and their corresponding acceptance criteria as part of an agile/scrum process.
• Coordinate work across multiple disciplines and stakeholders to keep delivery progressing.
• Ensure project delivery aligns with customer processes and methodologies, applying strong knowledge of different delivery models with an agile-focused approach.
• Establish a continuous delivery risk management framework that enables proactive decision-making throughout the delivery lifecycle.
• Monitor and enhance delivery productivity over time.
• Serve as a technical resource for Data Engineers, helping ensure their work meets quality and timeliness standards.
• Oversee production support and deployment responsibilities.

Skills

Python

SQL

Apache Spark

Team leadership

ETL/ELT pipelines

Tools

Databricks

Apache Kafka

Spring Boot

ReactJS

NoSQL

PySpark

Job description

We are looking for a Lead Data Software Engineer to join our company. This position brings together hands-on technical work and leadership responsibility, offering the chance to shape data architecture while driving delivery on critical projects. You will work closely with stakeholders and engineering teams to make sure solutions stay reliable and scalable as demands evolve. If you enjoy pairing hands-on technical involvement with accountability for delivery success, this role could be a strong fit for you.

Responsibilities

• Develop and preserve the codebase supporting ETL and ELT pipelines, together with large batch, micro-batch, and streaming systems
• Set up the infrastructure required to pull, transform, and load data efficiently from a variety of sources using ADF, Spark, Kafka, or comparable technologies
• Identify, plan, and roll out internal process improvements, such as automating manual tasks, improving data delivery, and modifying infrastructure to increase scalability
• Architect and release data services solutions using technologies such as Spring Boot, ReactJS, NoSQL, and other related UI and API tools
• Maintain governance across delivery management and production processes, aligned with the chosen delivery model
• Act as the key contact for delivery-related matters with senior leadership and stakeholders, covering escalations, upsells, and ramp-downs
• Provide technical direction throughout the delivery process, keeping the architecture solid and forward-thinking while ensuring implementation meets quality expectations
• Write user stories and their corresponding acceptance criteria as part of an agile/scrum process
• Coordinate work across multiple disciplines and stakeholders to keep delivery progressing
• Ensure project delivery aligns with customer processes and methodologies, applying strong knowledge of different delivery models with an agile-focused approach
• Establish a continuous delivery risk management framework that enables proactive decision-making throughout the delivery lifecycle
• Monitor and enhance delivery productivity over time
• Serve as a technical resource for Data Engineers, helping ensure their work meets quality and timeliness standards
• Oversee production support and deployment responsibilities

Requirements

• A minimum of 5 years of experience in a similar position
• At least one year of experience leading and managing teams
• Solid command of core Python for data engineering purposes
• Proficient in SQL for querying and processing data
• Hands-on experience with Apache Spark for large-scale data processing
• Familiarity with Anthropic Claude Code
• Experience using Databricks for data engineering and analytics tasksExcellent English proficiency (B2 level or higher)

Nice to have

• Experience with Apache Kafka for managing streaming data
• Working knowledge of Java
• Hands-on experience with PySpark
• Familiarity with Scala
• Experience with Spark Streaming

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn