Data Platform Engineer II - Business Intelligence Platform

About Us:

At , data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample.

Through our products, partners and people, we make it easier for everyone to experience the world.

About the team:

Our mission at  is to create visionary, innovative, and personalised travel experiences for millions of customers worldwide. Across our offices worldwide, we continue to innovate by solving some of the most complex challenges in travel and technology and plan for the exciting developments that lie ahead through strategic long-term investments in what we believe the future of travel can be.

Based in Central Tech, our team owns the foundational  BI and AI Analytics platforms  that support 's global data ecosystem. We design, build and scale capabilities across Tableau, Thought Spot, Snowflake Intelligence, Streamlit and internal Python services. We are also building the foundations for AI-powered analytics through  Snowflake Semantic Views, Cortex/Insight Agents, Cortex Search and a unified Semantic Layer , enabling trusted data and business context to be consumed consistently across traditional BI, conversational analytics and AI experiences.

About the role:

As a  Data Engineer II  in Central Tech, you will play a key role in building and evolving 's next-generation  BI and AI Analytics Platform . You will work across the Semantic and Agentic layers, enabling scalable, governed and high-performance analytical experiences through technologies such as  Snowflake Intelligence, Semantic Views, Cortex Agents, Cortex Search, Thoughtspot and dbt .

You will operate at the intersection of data platform engineering, semantic modelling and  AI-powered analytics . This includes building the foundations that allow teams to develop and operate trusted semantic models and AI analytical experiences, while establishing the automation, governance, observability and self-service capabilities required to scale them safely across

Key Responsibilities & Duties

Own and contribute to the design and implementation of the Semantic Layer foundation, leveraging technologies such as  Snowflake Semantic Views, and dbt , enabling consistent consumption across BI and AI Analytics experiences.

Contribute to the development and operation of AI-powered analytics capabilities, including Snowflake Intelligence, Cortex/Insight Agents, Cortex Search, and Thought Spot.

Build and evolve platform capabilities for AI Analytics, including agent evaluation, observability, guardrails, access controls and integrations with semantic models.

Build and maintain scalable, reusable, and governed data models that serve as a single source of truth for analytics and BI use cases.

Define and enforce data governance standards, including metric definitions, data contracts, access controls, and lifecycle management.

Design and operate the infrastructure supporting semantic and BI workloads, ensuring high availability, performance, and cost efficiency.

Collaborate with data engineers and analytics teams to ensure seamless integration between data pipelines and semantic models.

Support and enhance BDX-managed Streamlit applications, enabling interactive and user-friendly data exploration experiences.

Contribute to the evolution of the broader BI platform ecosystem (e.g., Tableau and other tools) by ensuring strong alignment with the semantic layer.

Build automation for deployments, testing, monitoring, and data quality checks across semantic and BI layers.

Drive performance optimization for queries, models, and dashboards to support large-scale analytics workloads.

Act as a technical point of contact for semantic layer and BI platform issues, including troubleshooting and root cause analysis.

Collaborate with cross-functional teams (Product, Data, SRE, Security) to ensure secure, compliant, and scalable platform solutions.

Mentor and guide junior engineers or contractors, ensuring high-quality delivery and operational excellence.

Continuously improve platform capabilities through innovation, experimentation, and adoption of modern data tooling.

Role Qualifications & Requirements

We are looking for engineers who are passionate about building  scalable data platforms, semantic layers, and AI-powered analytics capabilities , and who understand that…