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

Drive direct communications with business stakeholders
Elaborate on all technical aspects for the development team, justify any architectural decision
Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
Guide clients through complex data transformation initiatives and ensure successful outcomes
Participate in the entire cycle of sales
pre-sales activities
Lead solution architecture evaluation and assessment activities

Requirements

5+ years of experience in a Data Architect or Data Engineering role, or 5–10 completed projects
Background in Data Governance and Data Management
Experience 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 queries
Experience in the Travel domain
Experience building data pipelines, including ETL design, implementation, and maintenance
Knowledge of data management fundamentals, including data modeling, data quality, metadata management, data warehouse/lake patterns, and distributed systems
Excellent communication skills
Sales or pre‑sales experience

Nice to have

Understanding of sales engineering/consulting roles
Familiarity with value propositions in Data & Analytics sales

Vacation days: Up to 26 business days per year.
10 illness/special days off per year (fully paid, no medical papers needed) for all contract types
Health and life insurance (Luxmed)
MyBenefit platform with Multisport option
Internal psychological support service
English language classes from the first working day
Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training
Flexible workplace: work from the office, from home, or choose a hybrid option
Tech Skills Mentoring Program
Opportunities to develop as a public speaker, mentor, or technical interviewer
Fully paid idle (bench) when not involved in a project
Certification reimbursement (AWS, GCP, Microsoft, etc.)

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