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EPAM Systems

, , Colombia / Global

Principal Data Solution Architect

Job Description

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.

We are searching for an exceptional Principal Data Solution Architect to spearhead strategic initiatives and foster innovation at the highest level within our organization.

In this critical leadership role, you will focus on defining, constructing, and managing top-tier data architectures that align with our long-term vision. You will guide multidisciplinary teams in delivering scalable and cutting-edge solutions in a dynamic, complex environment.

Responsibilities Define and implement enterprise-grade data pipeline architectures to support global scalability

Lead the design and deployment of advanced real-time streaming platforms to enable mission-critical data ingestion

Architect and optimize multi-petabyte data lakes for high-performance retrieval and efficient long-term storage

Oversee the creation and automation of intricate ETL and ELT workflows utilizing Azure Data Factory

Integrate distributed data processing frameworks and advanced analytics through Azure Databricks and PySpark

Design and govern comprehensive cloud infrastructure strategies leveraging Azure IaaS and PaaS models

Establish cohesive enterprise networking strategies and CI/CD pipelines through Azure DevOps

Develop scalable data strategies for telemetry monitoring and sophisticated log analytics across multiple systems

Innovate in time-series analytics and operational insights by using Azure Data Explorer and KQL

Execute holistic data governance, security protocols, and compliance frameworks with Azure Purview

Translate complex business demands into visionary technical strategies with a focus on Azure capabilities

Cultivate collaborative relationships across executive stakeholders while mentoring senior team members

Architect Agile and DevOps workflows to enhance innovation and organizational resilience

Requirements 16+ years of experience in Data Solution Architecture

A minimum of 8 years in senior leadership roles, particularly within Agile enterprise settings

Hands-on experience in at least 5 large-scale projects

Strong ability to lead and manage cross-functional, multidisciplinary teams

Advanced expertise in Azure Data Lake, Azure Databricks (PySpark), Azure Synapse, Azure Data Factory, and Azure Data Explorer for mission-critical analytics

Comprehensive knowledge of distributed systems and scalable analytics utilizing PySpark and Azure Databricks

Proven track record of architecting and managing globally scalable data lakes, pipelines, and real-time solutions with ADX

Mastery in automating, integrating, and orchestrating ETL/ELT workflows using Azure technologies

Proficiency in cloud infrastructure governance, including IaaS/PaaS models, advanced networking, and CI/CD frameworks within Azure DevOps

Demonstrated capability to define telemetry and log analytics architectures for large systems using ADX

Specialization in time-series analysis and advanced operational insights using ADX and KQL

High-level proficiency in delivering enterprise data security, compliance, and governance solutions using Azure Purview

Aptitude for translating intricate business needs into robust technical frameworks centered on Azure and ADX solutions

Exceptional leadership and communication skills to drive alignment and mentor senior, cross-functional teams

Deep familiarity with Agile workflows and enterprise-caliber DevOps methodologies for continuous improvement

English language proficiency at an Advanced level (C1) or higher

Nice to have Proficiency in Python, SQL, and Scala for advanced data processing and optimization

Experience with advanced ML/AI models and frameworks leveraging Azure Machine Learning and Databricks

Certifications such as Azure Solutions Architect Expert, Azure Data Engineer Associate, or similar

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

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