About the Position
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.
About the Project
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.
About the Team
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.
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