Build the modern data backbone a global travel-rewards business runs on, work hands-on with the newest Microsoft Fabric and AI tooling, and coach the engineers coming up behind you.
About the Role
arrivia is looking for an experienced Fabric Data Engineer to take ownership of complex data pipeline architectures inside the Microsoft Fabric ecosystem. You will design and optimize enterprise-scale data solutions, set the technical standards the team works to, and mentor junior engineers along the way.
This work matters right now. You will help migrate an existing on-premise relational database into our modern cloud environment and play an instrumental role in decommissioning legacy data-warehouse systems. The pace is accelerating, and your pipelines are what let the business rely on accurate, up-to-date reports and dashboards.
Your impact reaches across the company. You will partner with analysts, data scientists, and business stakeholders to turn complex requirements into reliable, performant, well-governed data platforms, and the standards you set will shape how the whole team builds.
It is also a genuinely modern role. At arrivia, we are committed to AI-driven innovation, and you will work alongside the latest AI technologies, using LLMs, Model Context Protocol servers, and AI-assisted tools to accelerate delivery and raise engineering quality. You will also get flexible and hybrid work, certification support, and a clear path to grow into Senior, Lead, and Principal roles.
What You'll Own
- Pipeline architecture: Architect and optimize end-to-end pipelines with Microsoft Fabric Data Factory, Dataflows Gen2, and PySpark and Spark SQL notebooks, built for scale and performance.
- Lakehouse and warehouse design: Lead Lakehouse and Warehouse design on the medallion (Bronze, Silver, Gold) pattern, and set the best practices the team follows.
- Cloud modernization: Help move on-premise relational data into OneLake and retire legacy data-warehouse systems, accelerating the shift to a modern cloud platform.
- Real-time ingestion: Build low-latency streaming pipelines with Fabric Eventstream from sources such as Azure Event Hubs, IoT Hub, and custom applications.
- Performance and reliability: Write highly optimized T-SQL, Spark SQL, and PySpark, and own incremental loads, refresh scheduling, and SLA monitoring so pipelines stay dependable.
- AI-augmented engineering: Design pipelines that support Retrieval-Augmented Generation, including chunking, embeddings, and vector search, and use LLMs and MCP servers to speed up and improve how the team works.
- Data governance: Champion governance through sensitivity labels, role-based access controls, and cataloging in Microsoft Purview.
- CI/CD and engineering standards: Drive CI/CD with Fabric deployment pipelines, Git branching strategies, and automated testing for data assets.
- Trusted reporting layers: Maintain Power BI semantic models where needed, so enterprise reporting stays consistent and accurate.
- Mentorship: Coach Fabric Data Engineer I team members through code reviews, pair programming, and knowledge sharing, and help lead architectural reviews and continuous improvement.
What You'll Bring
- 3 to 5 years in data engineering, ETL and ELT development, or a related analytics engineering role.
- Strong SQL across T-SQL and Spark SQL, and strong Python with PySpark. Working knowledge of Scala is a plus.
- Several years working with Apache Spark and lakehouse data at scale, writing PySpark and Spark SQL notebooks against large datasets, with real performance-tuning experience.
- Solid grounding in lakehouse architecture, data warehousing, dimensional modeling, and data vault methodology.
- Hands-on experience with Microsoft Fabric or a comparable cloud data platform such as Azure Synapse or Databricks.
- Experience with real-time and streaming data at scale, including event-driven architectures and tools like Azure Event Hubs or Kafka.
- Familiarity with vector search, embeddings, and Retrieval-Augmented Generation patterns, plus hands-on use of LLMs and AI-assisted development tools.
- Strong CI/CD habits across Fabric deployment pipelines, Git, and automated testing.
- Demonstrated experience mentoring junior engineers and leading technical initiatives.
- Microsoft Certified: Fabric Data Engineer Associate (DP-700) is highly preferred.
- A bachelor's degree in a related field, or equivalent practical experience.
This role is multi-pronged, so you do not need every item above. Real strength across several of these areas, plus the drive to grow into the rest, goes a long way.
Benefits & Perks
- Unlimited PTO
- Exclusive employee travel rates
- Travel discounts through arrivia programs
- Medical, dental, and vision insurance
- 401(k) with company participation
Who We Are
At arrivia, we power travel loyalty and rewards programs for some of the world's leading brands. Our teams help millions of travelers book memorable experiences while delivering innovative technology and travel solutions to our partners. With a global workforce and a culture built on curiosity, ownership, authenticity, and collaboration, we're creating the future of travel.
Equal Opportunity EmployerThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Skills Required
- 3 to 5 years in data engineering, ETL/ELT development, or related analytics engineering role.
- Strong SQL across T-SQL and Spark SQL.
- Strong Python with PySpark (writing PySpark notebooks and performance tuning).
- Several years working with Apache Spark and lakehouse data at scale, including performance tuning.
- Solid grounding in lakehouse architecture, data warehousing, dimensional modeling, and data vault methodology.
- Hands-on experience with Microsoft Fabric or comparable cloud data platforms (Azure Synapse, Databricks).
- Experience building low-latency streaming pipelines and event-driven architectures (Azure Event Hubs, IoT Hub, or Kafka).
- Familiarity with vector search, embeddings, Retrieval-Augmented Generation patterns, and hands-on use of LLMs and AI-assisted development tools.
- Experience with data governance tools and practices (sensitivity labels, role-based access, Microsoft Purview).
- Strong CI/CD habits across Fabric deployment pipelines, Git, and automated testing for data assets.
- Demonstrated experience mentoring junior engineers and leading technical initiatives.
- Maintain and support Power BI semantic models for enterprise reporting.
- A bachelor's degree in a related field, or equivalent practical experience.
- Working knowledge of Scala.
- Microsoft Certified: Fabric Data Engineer Associate (DP-700).
arrivia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about arrivia and has not been reviewed or approved by arrivia.
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Strong & Reliable Incentives — Commission-based earnings in sales are described as having strong upside when performance is high, with bonuses and full payouts cited as meaningful contributors to total pay.
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Wellbeing & Lifestyle Benefits — Travel discounts and awards are positioned as a standout perk, supplemented by lifestyle add-ons like wellness programs, lifestyle spending, and office perks that add non-cash value.
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Parental & Family Support — Family-building and parental benefits are described as more modern than baseline offerings, including paid parental leave and adoption/surrogacy and fertility support.
arrivia Insights
What We Do
Welcome to arrivia. We specialize in making brands better through the power of travel. With more than 55 years of combined experience, we’re a merger of three powerhouse brands (in case you’ve heard of us in the travel industry) combining ICE, SOR Technology and WMPH Vacations. With offices on both coasts of the US and around the world, we embrace diversity and a passion for travel across our global staff. We’re focused on building a customer-first culture, fueled by the best travel experiences for all our members at every point in their journey. Grow with us, as we continue our path to deliver innovative solutions and take charge of change. The adventure is only beginning. We’re on a mission to help people around the world travel better and experience more. Our team members bring world-class skills to the table to create extraordinary memories for our partners and members.
