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DataArt

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Data Architect with Travel Experience

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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.

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.

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

Skills

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