We're seeking a Solution Architect to join our team on data-driven initiatives. We collaborate to build and deploy solutions that extract value from data through scalable platforms, modern technologies, and machine learning algorithms. Since the technology stack varies widely, Solution Architects from all technical backgrounds are encouraged to apply. To support your growth in the data domain, we offer a solid architectural framework, learning resources, and an engaged Solution Architect community.

Architect and continuously improve large-scale, data-driven solutions Maintain direct communication channels with business stakeholders Clarify technical aspects for the development team and justify architectural choices Oversee solution implementation from defining project requirements through to go-live Develop and deliver detailed solution architecture documentation to customers and implementation teams Engage in pre-sale activities across the full cycle Direct the evaluation and assessment of solution architectures Explore new technologies on an ongoing basis, contribute to company knowledge-sharing efforts, PoCs, and training programs A minimum of 2 years working as a Software Architect Hands-on experience with requirements engineering, solution architecture, systems development, deployment, and maintenance Solid grasp of architecture, design patterns, and technology trends across at least 3 domains (e.g., Data Platforms, IoT, ML, Backend, Mobile) Deep technical knowledge of internals in at least 1 technology domain Strong understanding of fundamental concepts in data and analytics architecture,



including data warehousing, business intelligence, data management, integration, security, and operations Proven experience designing, implementing, deploying, troubleshooting, and migrating distributed systems both on-premises and in the Cloud Comprehensive knowledge of the architecture design lifecycle, including requirements gathering, quality attributes, technology selection, estimation, proposal validation, and documentation Hands-on experience across all stages of the software development life cycle, using various methodologies and best practices Working knowledge of cloud platforms, including AWS, Azure, and GCP Working knowledge of distributed data processing and ETL frameworks, such as Apache Spark, AWS Glue, and Databricks Working knowledge of distributed environments, such as Kubernetes, Docker, and AWS ECS Working knowledge of analytical data warehousing solutions, such as Snowflake, AWS Redshift, and GCP BigQuery Working knowledge of relational databases, such as PostgreSQL, AWS SQL DB, and GCP Cloud SQL Working knowledge of lightweight/serverless compute services, such as AWS Lambda Functions, GCP Cloud Functions, and Azure Functions Working knowledge of No-SQL and specialized databases, such as Cassandra, MongoDB, and Azure Cosmos DB Working knowledge of data catalog and metadata management tools, such as Collibra, Alation, and Informatica Working knowledge of integration and flow management tools, such as AWS Step Functions, Airflow/GCP Cloud Composer, and Azure Data Factory English language skills at a B2 level or above

📌 Solution Architect (Argentina)
🏢 EPAM Systems
📍 Argentina