Sr. Architect

Job Title: Sr. Architect Location: Seattle, WA Duration: 06 Months Job summary: The Sr Architect will design and optimize data solutions using Databricks and Azure services to support complex analytical workloads in a hybrid work model. The role focuses on building scalable data platforms, enabling reliable pipelines, and ensuring high quality insights for business stakeholders, with preference for experience in airline domain environments. Experience : 12to14Yrs Required Skills : Azure DevOps,PySpark,Azure Monitor,Databricks Workflows,Databricks SQL Responsibilities Design robust end to end data architectures using Databricks SQL and PySpark to support scalable analytics and reporting solutions across enterprise data platforms. Develop optimized data models and transformation pipelines on Databricks Workflows that ensure reliable, performant, and consistent delivery of curated datasets for downstream consumers. Implement secure and compliant data solutions on Azure that align with enterprise standards for access control, data privacy, and regulatory requirements across business domains. Coordinate with product owners and data analysts to translate analytical requirements into technical designs that maximize reuse and maintainability of shared data assets. Configure Azure DevOps project structures, repositories, and branching strategies to support collaborative development, continuous integration, and controlled deployments of data platform components. Create automated build and release pipelines in Azure DevOps that enable repeatable deployment of Databricks notebooks, jobs, and related infrastructure across multiple environments. Monitor platform health and performance using Azure Monitor to proactively detect issues, analyze trends, and recommend improvements to capacity, reliability, and cost efficiency. Optimize PySpark jobs and Databricks SQL queries by tuning partitioning, caching, and resource configurations to reduce processing times and improve overall platform throughput. Partner with data engineers and operations teams to define logging, alerting, and incident response practices that enhance observability and reduce recovery times for critical data services. Guide stakeholders on best practices for hybrid work collaboration by standardizing documentation, code review processes, and knowledge sharing routines that keep distributed teams aligned. Document solution designs, technical decisions, and operational runbooks in clear and reusable formats that support future enhancements and onboarding of new team members. Engage with business partners to demonstrate how data solutions built on Databricks and Azure deliver measurable value, such as improved decision accuracy and faster time to insight. Apply domain understanding from airline operations when available to design data solutions that support use cases such as demand forecasting, route optimization, and customer experience analytics. Qualifications Possess extensive experience working with Databricks SQL and PySpark to design and implement complex data transformations and analytical models for large scale datasets. Demonstrate strong hands on expertise with Databricks Workflows including job orchestration, dependency management, and scheduling of production data pipelines. Exhibit practical proficiency in Azure DevOps by managing repositories, configuring pipelines, and enforcing quality gates that support disciplined software delivery practices. Show solid capability in using Azure Monitor for setting up metrics, dashboards, and alerts that provide clear visibility into data platform health and performance. Display familiarity with Azure based data services such as storage, compute, and networking components that are commonly integrated with Databricks solutions. Bring proven experience of twelve to fourteen years in data engineering or architecture roles with progressive responsibility for end to end solution ownership. Prefer prior exposure to airline industry data and processes where understanding of flight operations, revenue management, or customer engagement can enhance solution relevance. Demonstrate strong communication and collaboration skills that enable effective interaction with cross functional stakeholders in a hybrid work arrangement during standard day shifts. Exhibit commitment to quality and continuous improvement by adopting coding standards, testing practices, and documentation habits that enhance reliability and maintainability.