At EPAM NEORIS, we believe that transformation starts with people. Today, as part of EPAM, we have expanded our global reach and capabilities, while keeping what matters most: a culture where every person can grow, contribute, and take the lead. We are not just looking to fill positions. We aim to bring in talent that wants to improve, learn constantly, and make an impact on every project. We are a diverse, inclusive, and continuously evolving team. We promote ideas, not hierarchies. We invest in the real development of every individual. If you want to work in a place where your growth matters as much as the results, we are looking for you. Data Enterprise Architect Main Responsibilities: • Define and maintain the enterprise data architecture blueprint, including data models, standards, and governance frameworks. • Collaborate with business and IT leaders to align data architecture with strategic business objectives and digital transformation initiatives. • Design and oversee the implementation of scalable data solutions across transactional, analytical, and streaming environments. • Establish standard data integration and data exchange patterns to ensure system interoperability across platforms. • Lead data platform modernization efforts and cloud adoption initiatives, including migrations to Snowflake, Databricks, Azure, AWS, or GCP. • Define policies and frameworks for data governance, data quality, metadata management, and master data management (MDM). • Partner with Information Security and Compliance teams to ensure data security, privacy, and regulatory adherence. • Provide architectural guidance to solution architects, data engineers, and project teams through reviews, mentoring, and coaching. Requirements: Mandatory: • Bachelor’s or Master’s degree in Computer Science, Information Systems, or related fields. • Proven experience in Data Architecture, Enterprise Architecture, or similar roles. • Deep understanding of data modeling, metadata management, and data lifecycle management. • Strong experience with cloud-based data platforms (Azure Data Services, AWS Redshift, Snowflake, Databricks). AWS preferred. • Proficiency in both SQL and NoSQL data technologies. • Experience with data governance and catalog tools such as Collibra, Informatica, or Alation. • Knowledge of enterprise architecture frameworks such as TOGAF or Zachman. • Excellent communication, facilitation, and stakeholder management skills. • Strong analytical thinking and solution-oriented mindset. Nice to Have: • Experience working in regulated industries (Pharma, Finance, Healthcare). • Certifications in Enterprise Architecture, Cloud Platforms, or Data Management (TOGAF, Zachman, AWS, Azure, etc.). • Practical understanding of AI/ML data requirements and data product design concepts. Offered • Permanent contract with a competitive salary • Flexible working model and remote work options • Personalized career plan and continuous training • Participation in stable projects with a high technical component • Flexible schedule and work–life balance • Social benefits adapted to your needs Learn more about us at http://www.neoris.com, Facebook, LinkedIn, Twitter or Instagram: @NEORIS. Mercedes Manzano #LI-MM1

• Lead client projects, ensuring high data quality. • Develop, maintain, and improve data pipelines. • Evolve cloud platforms and solutions using expertise in Cloud, DataOps, and Data Engineering. • Contribute to architectural decisions, mitigation of technical debt, and agile practices. • Participate in internal training and alignment activities at Dadosfera.

• Understands the full picture and helps operations with monitoring, dashboards etc. • Work with architect and tech lead on design. • Constantly keeps an eye on cost and performance of the system. • Work with BA on the integration requirements. • Ability to trouble shoot performance issue and other functional issues. • Attention to details and documents the key decisions made. • Ability to handle fast paced projects and willing to look into production issues. • Should be a quick/self learner and be able to adopt to new technologies. • Prompt response /communication needed.

• Lead paid acquisition engine by turning complex data into scalable, profitable results • Drive growth by efficiently allocating capital across paid channels • Optimize marketing dollars for scalable revenue • Manage end-to-end architecture of paid media efforts • Analyze complex datasets to identify growth opportunities • Design and measure A/B and CRO tests • Build and own reporting layer in BigQuery and Looker Studio • Deploy advanced bidding and geotargeting