• Lead the development and optimization of clinical data systems • Drive data standardization and build validation frameworks • Design high-performance databases and pipelines across global trials • Architect scalable validation frameworks to proactively address systemic data issues • Build and maintain modular codebases, set coding standards, and mentor junior engineers • Oversee regulatory alignment with GCP and FDA 21 CFR Part 11 • Develop dynamic dashboards and analytics tools to deliver actionable insights into trial performance and data quality • Act as a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs

• Lead the development and optimization of clinical data systems • Drive data standardization initiatives • Build validation frameworks and design high-performance databases and pipelines across global trials • Serve as a strategic partner to Clinical Data Managers and cross-functional teams • Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements • Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs • Act as a strategic liaison between Clinical Data Engineering and other departments

• You will be part of a team responsible for supporting new and existing customers in their data engineering needs. • You will guide customers to make the best technical decisions to achieve their goals • You will actively work across multiple customer accounts, which you will need to track and report on their progress. • You will build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions. • You will design data solutions. • You will analyze sources to determine value and recommend data to include in analytical processes. • You will incorporate core data management competencies, including data governance, data security, and data quality. • You will collaborate within and across teams to support delivery and educate end users on data products / analytic environments. • You will perform data and system analysis, assessment, and resolution of defects and incidents of moderate complexity, correcting as appropriate. • You will test data movement, transformation code, and data components.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description At arrivia, we believe travel has the power to transform lives. To deliver world-class travel experiences to our millions of members, we need a world-class data foundation. We are looking for a Data Lake Architect II to be the visionary behind our next-generation cloud data platform. You won't just be managing data; you’ll be architecting the engine that powers our enterprise-scale AI, machine learning, and real-time analytics. If you are passionate about turning raw data into "travel magic" using the latest Azure and Lakehouse technologies, we want to talk to you. What You’ll Do - Architect the Vision: Design end-to-end data lake solutions (batch and streaming) that handle structured and unstructured data at scale. - Build for Intelligence: Implement optimized storage layers and feature stores specifically designed to supercharge our Data Science team’s ML workloads. - Engineer Flow: Construct high-performance ingestion pipelines using Spark, Databricks, Kafka, and Flink. - Drive Innovation: Lead the transition toward Lakehouse architectures (Delta Lake/Iceberg) and explore cutting-edge tech like Vector Databases for RAG. - Master the Cloud: Act as the primary authority for Azure architecture decisions, ensuring our compute strategy is serverless, scalable, and cost-efficient. - Govern with Excellence: Define the frameworks for metadata, lineage, and data quality that ensure our data is trusted and secure. Qualifications - 3+ years of dedicated Azure architecture experience (6+ years in IT overall). - Deep expertise in Azure Data Lake, Synapse, Databricks, and Big Data frameworks (Spark, Trino, or Flink). - Experience operationalizing models via MLflow, Vertex AI, or SageMaker. - Proven success with Infrastructure as Code (Terraform), CI/CD (Azure DevOps), and distributed systems. - The ability to translate complex technical "hows" into clear business "whys." - Ideally, you hold an Azure Solutions Architect Expert or Azure Data Engineer Associate certification. Benefits - Stay Curious: We give you the space to learn, grow, and experiment with generative AI and new data patterns. - Win Together: We thrive on a culture of connection and inclusion. - Travel Perks: We’re in the travel business—we want you to experience the world! - Work Your Way: Enjoy a flexible environment (Remote/WFH) with a team that trusts your expertise. Company Description We’re a global powerhouse born from the merger of ICE, SOR Technology, and WMPH Vacations. We combine 55 years of stability with the agility of a tech innovator.