Project overviewThis is a Principal-level role responsible for solution architecture focused on the data context. Key areas include:
Data Governance (DG) and Data Management (DM);Data structures and modeling;Data security practices;Architectural best practices;Integration patterns;Non-functional requirements in the data context.
TeamBig team (20+ people)DataArt’s Data & Analytics team designs and implements modern data and analytics solutions for mid- and large-sized organizations. Operating remotely and in numerous R&D centers, our Center of Competence drives innovation in data and big data, ensuring rapid expansion of domain expertise and greater customer satisfaction.
Position overviewWe are looking for a Data Architect who can design and guide the implementation of robust data solutions in a travel-focused environment. You will play a key role in shaping data architecture decisions, working closely with stakeholders, and ensuring that solutions align with business objectives and industry standards. This role combines hands-on architecture design with client-facing responsibilities and involvement in pre-sales activities.
ResponsibilitiesDrive direct communications with business stakeholdersElaborate on all technical aspects for the development team, justify any architectural decisionLead implementation of the solutions from establishing project requirements and goals to solution 'go-live'Guide clients through complex data transformation initiatives and ensure successful outcomesParticipate in the entire cycle of salespre-sales activitiesLead solution architecture evaluation and assessment activitiesRequirements5+ years of experience in a Data Architect or Data Engineering role, or 5–10 completed projectsBackground in Data Governance and Data ManagementExperience working with cloud platforms (Azure, AWS, or GCP)Experience with data warehouse / data platform technologies (Snowflake, Databricks)Strong SQL skills, with the ability to design, write, and maintain complex SQL queriesExperience in the Travel domainExperience building data pipelines, including ETL design, implementation, and maintenanceKnowledge of data management fundamentals, including data modeling, data quality, metadata management, data warehouse/lake patterns, and distributed systemsExcellent communication skillsSales or pre‑sales experienceNice to haveUnderstanding of sales engineering/consulting rolesFamiliarity with value propositions in Data & Analytics salesVacation days: Up to 26 business days per year.10 illness/special days off per year (fully paid, no medical papers needed) for all contract typesHealth and life insurance (Luxmed)MyBenefit platform with Multisport optionInternal psychological support serviceEnglish language classes from the first working dayAccess to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal trainingFlexible workplace: work from the office, from home, or choose a hybrid optionTech Skills Mentoring ProgramOpportunities to develop as a public speaker, mentor, or technical interviewerFully paid idle (bench) when not involved in a projectCertification reimbursement (AWS, GCP, Microsoft, etc.)