DataArt

Data architect in travel

In short

This is a remote, lead/principal-level Data Architect role at a company working in the travel domain, combining hands-on data architecture design with client-facing and pre-sales responsibilities. It requires 5+ years of Data Architect/Data Engineering experience, strong SQL, cloud platform experience (Azure, AWS, or GCP), and knowledge of data warehouse technologies like Snowflake or Databricks. The role also demands experience in Data Governance, ETL pipeline building, and sales/pre-sales engagement with clients.

Description
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
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
Additional 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
•Understanding of sales engineering/consulting roles
•Familiarity with value propositions in Data & Analytics sales
Conditions
No conditions are stated in the posting.

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