Senior Data Engineer

Job Description Job Description At AmaWaterways, we believe meaningful careers begin with purpose, passion and a shared commitment to delivering unforgettable experiences. For those who value curiosity, connection and personal enrichment, AmaWaterways offers the opportunity to help craft meaningful river journeys that invite travelers to follow their own current. Built on a foundation of heartfelt hospitality, we treat our guests—and each other—with genuine care, warmth and respect. AmaWaterways fosters a collaborative environment both onboard our ships and across our global network of offices, where team members grow together, support one another and take pride in upholding the high standards and thoughtful service our company is known for. We invite talented, motivated professionals to explore our career opportunities and begin their journey with AmaWaterways today. Role Summary AmaWaterways is seeking an experienced Senior Data Engineer to design, scale, and optimize the company’s enterprise data platform. This role will build and maintain cloud-native data pipelines, lakehouse/warehouse architectures, and multi-system integrations that support Finance, Reservations, CRM, Operations, Marketing, and guest experience analytics. The engineer will focus on building secure, scalable, and cost-efficient systems while applying modern DevOps, ETL, and cloud engineering practices. This role requires a strong technologist with hands-on expertise across data pipelines, orchestration, governance, and cloud infrastructure. Key Responsibilities Data Platform Engineering · Design, build, and maintain ELT/ETL pipelines across Snowflake, Databricks, Microsoft Fabric Gen 2, Azure Synapse Analytics, and legacy SQL/Oracle systems. · Implement medallion/lakehouse architecture patterns, CDC pipelines, and streaming ingestion frameworks. · Develop scalable data models, schemas, and transformation layers that support enterprise reporting and advanced analytics. · Optimize Snowflake and Synapse performance and cost (clustering, partitioning, warehouse tuning, resource monitoring). · Leverage Python and SQL for data processing, orchestration, and automation. Cloud Infrastructure & DevOps · Architect and manage AWS and Azure multi-account environments, ensuring MFA, IAM policies, and governance are enforced. · Deploy infrastructure using Terraform, Azure DevOps Pipelines, and CloudFormation for reproducible, version-controlled environments. · Build serverless architectures (AWS Lambda, Azure Functions, EventBridge, SQS, Step Functions) for event-driven data flows. · Implement containerized services with Docker/Kubernetes for orchestration and workload isolation. · Integrate infrastructure with CI/CD pipelines (GitHub Actions, Azure DevOps, MWAA/Airflow, dbt) for automated testing and deployments. · Establish observability frameworks with Datadog, Prometheus, Grafana, Kibana, Azure Monitor for performance, availability, and cost transparency. Integration & Architecture · Engineer integrations across Salesforce Data Cloud/Marketing Cloud, finance systems, payment gateways (Stripe/PayPal), call center platforms, and shipboard systems. · Apply strong API and data exchange standards (REST/SOAP, JSON, XML, streaming). · Implement secrets management practices (vault-based credential management, Azure Key Vault, Airflow, Databricks, external APIs). · Ensure alignment with enterprise security, compliance, and governance frameworks (PCI-DSS, SOX, GDPR, CCPA). Governance, Quality & Reliability · Implement automated data quality validation, lineage tracking, and impact analysis frameworks. · Define disaster recovery, rollback, and versioning strategies across cloud and hybrid environments. · Monitor and optimize compute/storage spend; provide reporting and visibility on consumption and cost-saving initiatives. · Support IT and Security teams with audits, vulnerability assessments, and incident response protocols. Technical Excellence · Apply engineering standards in Python, SQL, CI/CD, Terraform, and infrastructure-as-code. · Stay current on new tools and technologies across AWS, Azure, and open source; evaluate and recommend adoption where applicable. · Document architectures, processes, and patterns to enable knowledge sharing across the team. · Troubleshoot complex pipeline, infrastructure, and integration issues across multiple environments. Qualifications Required · 7+ years of professional experience in data engineering across cloud and hybrid environments. · Expert in SQL (Snowflake, Azure Synapse, Oracle, SQL Server) and Python for pipelines, APIs, and automation. · Proven success designing and scaling platforms on Snowflake, Databricks, Microsoft Fabric Gen 2, and Azure Synapse Analytics. · Strong hands-on experience with workflow orchestration (Airflow/MWAA, Azure Data Factory, dbt). · Demonstrated mastery of Terraform/IaC, serverless AWS & Azure architectures, Docker/Kubernetes. · Strong DevOps background (CI/CD pipelines, Git branching strategies, automated testing, infrastructure-as-code). · Familiarity with enterprise governance, RBAC, metadata lineage, and compliance frameworks. · Experience with observability and monitoring tools (Datadog, Prometheus, Grafana, Kibana, Azure Monitor). · Ability to debug and resolve complex data issues spanning multiple systems. Preferred · Experience with Salesforce Data Cloud integrations and identity resolution. · Background in finance systems, revenue recognition, or high-volume payment processing. · Hands-on exposure to Iceberg/Delta tables and advanced data lakehouse architectures. · Experience optimizing Snowflake, Synapse, and Databricks clusters for cost efficiency. · Familiarity with AI/ML-driven analytics, predictive modeling, or real-time inference workflows. · Prior experience in travel, hospitality, or consumer-facing industries. At AmaWaterways, innovation fuels world-class guest experiences. Our data engineering team is building the modern data ecosystem that powers operational excellence, financial transparency, and personalized guest journeys. As a Senior Data Engineer, you will directly shape the future of the company’s digital and data strategy by applying cutting-edge cloud and data engineering practices.