Project overview
This 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.
Team
Big 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 overview
We 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.
Responsibilities
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Drive direct communications with business stakeholders
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Elaborate on all technical aspects for the development team, justify any architectural decision
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Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
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Guide clients through complex data transformation initiatives and ensure successful outcomes
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Participate in the entire cycle of sales
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pre-sales activities
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Lead solution architecture evaluation and assessment activities
Requirements
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5+ years of experience in a Data Architect or Data Engineering role, or 5–10 completed projects
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Background in Data Governance and Data Management
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Experience working with cloud platforms (Azure, AWS, or GCP)
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Experience with data warehouse / data platform technologies (Snowflake, Databricks)
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Strong SQL skills, with the ability to design, write, and maintain complex SQL queries
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Experience in the Travel domain
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Experience building data pipelines, including ETL design, implementation, and maintenance
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Knowledge of data management fundamentals, including data modeling, data quality, metadata management, data warehouse/lake patterns, and distributed systems
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Excellent communication skills
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Sales or pre‑sales experience
Nice to have
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Understanding of sales engineering/consulting roles
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Familiarity with value propositions in Data & Analytics sales
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Vacation days: Up to 26 business days per year.
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10 illness/special days off per year (fully paid, no medical papers needed) for all contract types
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Health and life insurance (Luxmed)
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MyBenefit platform with Multisport option
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Internal psychological support service
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English language classes from the first working day
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Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training
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Flexible workplace: work from the office, from home, or choose a hybrid option
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Tech Skills Mentoring Program
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Opportunities to develop as a public speaker, mentor, or technical interviewer
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Certification reimbursement (AWS, GCP, Microsoft, etc.)
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