We are seeking an experienced Data Architect to design and implement scalable, secure, and high-performing data solutions. In this role, you will collaborate with cross-functional teams to translate business needs into robust data architectures while providing technical leadership throughout the project lifecycle.ResponsibilitiesDesign end-to-end data architectures, including data modeling, integration, storage, and analytics solutionsCollaborate with stakeholders to understand business requirements and translate them into scalable data solutionsSelect appropriate technologies and platforms for data management, ensuring optimal performance, security, and scalabilityOversee data migration, transformation, and integration processes across various systemsEstablish data governance, quality, and security standardsProvide technical leadership and guidance to development teams throughout the project lifecycleDocument architectural decisions, data flows, and solution designsStay updated on emerging data technologies and trends to recommend improvementsRequirements10+ years of hands-on experience in data architecture, data engineering, or related disciplines, with a proven track record of delivering enterprise-scale data solutionsExpertise in designing and implementing Data Platforms & Solutions, including end-to-end architecture covering ingestion, storage, processing, and consumption layers for both batch and real-time workloadsDeep understanding of Data Mesh principles, including domain-oriented data ownership, data-as-a-product mindset, self-serve data infrastructure, and federated computational governanceProficiency in Databricks, including Delta Lake, Unity Catalog, notebooks, and building scalable ETL/ELT pipelines using Spark for large-scale data processing and analyticsStrong hands-on experience with Google Cloud Platform (GCP) data services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage, along with knowledge of GCP security, networking, and cost optimization best practicesFamiliarity with Atlan for metadata management, data cataloging, lineage tracking, and enabling enterprise-wide data discovery and governance initiativesProficient communication skills in English (B2 level or higher)Nice to haveKnowledge of Cloudera Data PlatformUnderstanding of Data Lakehouse architecturesBackground in Gen AI Application DevelopmentSkills in Oracle RDBMSWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.