Senior Data Engineer

• Leading the delivery of finance domain data migration projects with clear milestones, quality controls, and operational readiness
• Designing and maintaining reusable data ingestion and transformation frameworks aligned with enterprise engineering standards
• Ensuring data consistency, lineage, and trustworthiness across finance and enterprise data domains
• Collaborating with business and technical stakeholders to enable analytics, forecasting, and AI readiness for finance data
• Driving operational excellence across engineering practices, optimizing for cost, performance, and maintainability
• Design, develop, and maintain robust batch and streaming data pipelines across Azure Data Factory, Databricks, Informatica, and SQL environments
• Closely work with vendors, contractors and other FS teams to operationalize the data migration process for the hotels
• Implement and oversee CI/CD workflows, Infrastructure as Code (IaC), and automated testing frameworks
• Operationalize data quality by integrating Informatica IDQ into finance workflows
• Apply governance standards by embedding metadata, cataloging, and lineage practices
• Monitor and tune pipeline performance and Azure cost utilization
• Support the creation of certified datasets and semantic models
• Collaborate closely with Data Science and Analytics teams to deliver curated, model-ready data assets
• Lead end-to-end finance data migration projects
• Document and enforce financial data controls
• Apply established enterprise data architecture and engineering standards
• Collaborate closely with Enterprise Architecture and the Director of Data Engineering
• Design and implement finance data models and integration patterns
• Lead data modeling activities
• Embed governance and data quality practices
• Support architectural design and technical delivery for enterprise programs
• Contribute to solution design reviews and technical documentation
• Partner with Data Governance and Business Stakeholders
• Stay informed on emerging technologies and architectural patterns
• Ensure compliance with enterprise architecture and governance processes
• Coordinate cross-functional collaboration
• Translate architectural direction into executable tasks
• Support project planning and execution
• Conduct pre- and post-implementation validation
• Collaborate with internal and external partners
• Provide subject matter expertise in finance data engineering
• Proactively communicate project status, risks, and dependencies to leadership
• Promote continuous improvement through feedback loops, retrospectives, and optimization of engineering practices

• Minimum 5-8 years experience Data Engineering
• with experience in Azure using Databricks
• Bachelor’s degree Required
• Expert in Data Engineering in Microsoft Azure Environment + Toolsets (ADF, Synapse, Data Bricks, Cosmos DB, FunctionApps, Logic Apps etc)
• Lakehouse experience using Databricks
• Azure platform administration
• Data Governance Software experience
• Microsoft Power BI delivery and support
• Strong SQL query skills
• Strong history in Python, Pyspark, or Scala
• Data process improvement
• Working in large data sets
• Confluence, Jira, TestRail
• Helpdesk Tools and methods
• Microsoft Visio
• Microsoft Office Suite, very strong Excel
• Excellent verbal and written communication skills
• Excellent organizational and time management skills
• High degree of self-motivation
• Effective personal persuasion skills
• Be able to manage volume of work and deal with global conference calls
• Strong technical expertise in data engineering and data architecture within Azure and Databricks ecosystems
• Proven ability to deliver results through others
• Excellent team management and fostering a high-performance culture
• Solid leadership skills with experience driving data migration, integration, and transformation projects
• Strong financial and budgeting acumen
• Excellent conceptual, analytical, and problem-solving abilities

MBA or Master’s in Engineering