Data Architect with Travel Experience

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.)

Tech stack

• data governance
• Cloud Platforms
• ETL design
• SQL queries
• Data Warehouse
• Snowflake
• Databricks