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.

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

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