Sr. Data Architect

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Expedia Group has a great opportunity for a Senior Data Architect to work with Data Architecture Team!
If you have strong data engineering, architecture skills and enjoy influencing stakeholders on best practices-based approach, this is the place for you. Add a healthy passion for debating about pros vs cons and a desire to architect scalable solutions, and you’ll be set apart from the crowd. If teamwork, respect, ownership, recognition, trust, simplification, and test-and-learn speaks to you - and the thought of joining a growing team excites you - we want to talk to you.
Our team is looking for a Senior Data Architect to join the EG Data Architecture team, a part of Architecture and Data Management team to help us build reliable and scalable data ecosystem. The position is critical to define data architecture solutions that are rooted in best practices-based approach to support data as a product mindset in a multi domain environment. Help document standards and patterns, perform buy vs build analysis, document data flows and architecture decisions to support various data initiatives. In this role, you will interact with various enterprise, domain architects, data engineers and product owners to architect data pipelines, capabilities that are secure, scalable, flexible, available and reliable. You will lead junior architects, work with them and help them grow. Come up with new ideas to continue building trusted data ecosystem. Your work will lead to a direct impact on growing revenue for EG as well as architect foundation components for standing up the EG platform.
 What you will do:

• Extends outside of direct organization and collaborate with peers across a senior level organization.
• Leads a community of practice and bring people together for shared learning.
• Partners with the business to have a clear understanding of how own technology stack is tied to business outcomes and our bottom line.
• Successfully conducts day-to-day work and solves complex issues in a specific domain.
• Shares domain and Industry knowledge between cross-functional teams.
• Serves as a guide to others by sharing and helping junior associates in their duties.
• Advocates efforts to remove tech roadblocks for their team for long term success.
• Demonstrates positive impact and leadership outside immediate team scope.
• Possesses knowledge of modern data stack, databases and technology platforms to bring together different components and form a fully functional solution to a business problem.
• Has proven ability, experience and advanced knowledge of building and operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
• Acts as a spokesperson for data architecture best practices.
• Researches and recommends frameworks and architectural/code design patterns for large scale data processing in a scalable distributed environment.
• Advises on designing, performance/scalability tuning of batch and real time stream analytics and large data processing systems.
• Identifies areas of improvements within the design and suggests solutions.
• Advises on technical limitations of software design for products and provides alternative solutions.
• Facilitates collaboration with different stakeholders with varied perspectives to develop effective solutions to issues.
• Strives for optimum organizational efficiency by applying design thinking across boundaries and making recommendations about policies/ processes.
• Takes a whole systems approach to analyze issues and implements holistic solutions by ensuring that linkages between structure, people, process and technology are made.
• Recognizes anti patterns and technical debt with current systems and design plans for disrupting them in a non-disruptive manner.
• Designs and leads advancements, innovations and changes in current solution designs (specifically related to data engineering, cloud data platforms, data models, enterprise information management, business intelligence and data science).
• Reports on status of difficult or high-level projects to local tech leadership via written or oral means. Ensures documentation is complete.
• Justifies technology choices to both technical and non-technical observers.
• Shares data architecture learnings and best practices across data engineering community in organization

Who you are:

• 7+ years of experience developing data engineering solutions, including ETLs, with a minimum of 3 years in a senior or lead role.
• 4+ years of experience in a data architect role
• 3+ years’ Experience in Cloud computing platforms including AWS, Databricks and Snowflake
• 5+ years’ Experience in Apache Spark, Apache Kafka, Splunk, Datadog.
• Experience in NoSQL and SQL Databases including MongoDB or Elastic Search.
• Experience with data integration strategies and performance optimization
• Experience with data quality, data discoverability and governance tools.
• Experience in language like Python, Java, and/or Scala
• Experience working with BI and data warehousing solutions
• Strong communication skills, experience communicating across various groups, and levels of leadership within a global organization
• Good understanding and working experience with data mesh principles
• Experience performing Build vs Buy analysis for selecting technology tools
• Ability to drive outcomes as opposed to task based execution

About Expedia Group 

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.  

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