Senior Data Architect

• 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

In this role, you will:

• 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

Experience and qualifications:

• 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