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As part of Alaska Airlines enterprise data modernization, the BI Developer serves as a senior technical leader in architecting top-of-class, engineering-designed data pipelines that underpin enterprise analytics data products. This role explicitly includes all responsibilities of a Senior BI Developer and expands scope to include enterprise architecture, reusable framework creation, and strategic influence across multiple teams and domains.
Job Responsibility:
Own and lead enterprise-grade ETL architecture and technical direction across multiple domains
Take full ownership of data pipeline design, development, deployment, and ongoing operations to ensure timely delivery and high-quality outcomes
Apply reusable frameworks and components to streamline ETL development and optimize workflows across multiple products
Manage all aspects of ETL pipeline lifecycle, ensuring efficiency, accuracy, reliability, and scalability
Optimize data storage and retrieval techniques to improve performance while reducing cost
Continuously monitor pipeline performance and refine solutions to meet evolving business and technical requirements
Implement and uphold data governance, security, and data quality standards across systems
Mentor and provide technical guidance to developers, fostering a collaborative and high-performing engineering culture
Create, define, and standardize reusable ETL frameworks, architectural patterns, and components
Define and evolve data architecture, data modeling standards, and engineering best practices
Partner with stakeholders to define data engineering requirements, success metrics, and long-term roadmaps
Lead architectural and code reviews, influence cross-team technical decisions, and drive adoption of best practices
Research, evaluate, and integrate emerging tools, technologies, and methodologies to advance data engineering capabilities.
Requirements:
4 years of experience of data engineering or ETL development experience
A Bachelor's degree or 2 years of additional equivalent experience
Expert-level, hands-on Databricks experience, including Declarative Pipelines (Delta Live Tables)
Deep expertise in data engineering concepts including batch and streaming architecture, orchestration, and observability
Advanced data modeling expertise with the ability to define and enforce enterprise standards
Strong proficiency in Python, Spark, Spark, SQL, and cloud-based lake house platforms
Proven experience influencing architecture and technical standards across teams
High school diploma or equivalent
Minimum age 18
Must be authorized to work in the U.S.
What we offer:
Free stand-by travel privileges on Alaska Airlines, Hawaiian Airlines & Horizon Air
Comprehensive well-being programs including medical, dental and vision benefits