> Markdown version of [/jobs/ext/3793702-digital-senior-analytics-engineer-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/3793702-digital-senior-analytics-engineer-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Digital - Senior Analytics Engineer /Analytics Engineer - **Company:** Aritzia Inc - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $100,000 - $300,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Business Logic, BigQuery, Software Documentation, Customer Data Management, Data Governance, Data Warehousing, Digital Technology, Software Tools, SQL Databases, Snowflake, Data Layers, Information Technology, Data Analytics, Amazon Redshift - **Published:** October 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c1533af966b0ad0c ## About the Role The Senior Analytics Engineer / Analytics Engineer, Digital Technology has: * Proven skills, education, and/or applicable certifications in computer science, analytics engineering, business intelligence, and/or data analytics * Proficiency in SQL and data modeling for analytics, reporting, and downstream data products * Experience developing transformation workflows and documented datasets using modern analytics engineering tools, with dbt preferred * Experience with modern data warehousing solutions (BigQuery, Snowflake, Redshift preferred) * Experience defining metrics, business logic, semantic layers, and reusable data products * Experience with data quality, testing, governance, lineage, and documentation standards * Experience supporting Digital Marketing (DTC, Owned, Paid channels) and Customer Data (zero/first/third-party) preferred * Curiosity to leverage AI to accelerate workflows and generate business solutions * A commitment to learn and apply Aritzia's Values, Business and People Leadership principles * The ability to collaborate fluently with cross-functional partners A commitment to quality and investing in results that add value to the business * ## Description Aritzia is growing and our Digital Technology team is growing with it. This is a unique opportunity to be part of the team responsible for delivering everyday luxury experiences to Aritzia's clients by leveraging technology to meet and exceed the vision and mission of the business. As the Senior Analytics Engineer / Analytics Engineer, you will transform complex data into trusted, business-ready assets that empower decision-making across the organization. You will partner closely with cross-functional stakeholders to establish consistent metrics, develop scalable data models, and improve the accessibility and reliability of data. By combining strong technical capabilities with business acumen, you will create the foundation for meaningful insights, high-quality reporting, and data products that unlock opportunities, drive performance, and enable confident decision-making. And, with the skills you gain in this role, the opportunities are endless - from a rewarding career in Digital Technology to continued growth and development with Aritzia., As a Senior Analytics Engineer / Analytics Engineer, Digital Technology, you will: * Design, develop, and optimize trusted, reusable data models that support analytics, reporting, and downstream data products * Transform raw landed data into curated, documented datasets that enable consistent business use * Partner closely with analytics, data science, engineering, and business stakeholders to translate business needs into scalable analytical assets * Define and maintain semantic layers that support business intelligence, self-serve analytics, and downstream consumption * Establish and uphold data quality, governance, privacy, and documentation standards for trusted analytical datasets * Contribute to the evolution of the customer data model, improving usability, consistency, and reliability across data products * Support the development of data testing, lineage, and documentation practices that increase trust in business reporting Mentor junior engineers and promote analytics engineering best practices, data standards, and operational excellence *