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Data Engineer, Platform Administration

Job in Austin, Travis County, Texas, 78789, USA
Listing for: Realtor.com
Full Time position
Listed on 2026-10-25
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Cloud Computing: Infrastructure & Operations, Data Analyst
Job Description & How to Apply Below
Position: Staff Data Engineer, Platform Administration
Reference: 3301

Posted:

Location:

Austin, TXCompany:
Realtor.com Staff Data Engineer, Platform Administration

Location:

Austin, TX, United States Category:
Data Science & Analytics Job  Now Description Recognized  as the No. 1 site trusted by real estate professionals,  has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools,  not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.

Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.

About

The Role We have an exciting and unique opportunity for a motivated and energetic Staff Software Engineer - Platform Administration to join the  Data Operations team. In this position, you will lead the administration, optimization, and strategic evolution of our enterprise Snowflake Platform to support data-driven decisions across the organization. You will develop and maintain best practices for data warehouse management, build sophisticated monitoring and optimization tools, ensure enterprise-grade security and compliance, and mentor engineers on Snowflake administration.

You will incorporate Dev Ops practices, learn about and leverage new technologies, work with an experienced team of engineers, and be part of a team that has a lot of fun along the way!

Top Reasons to Apply:

Lead the evolution of a large, widely used Snowflake environment rather than focus on a narrow slice of the stack.

Improve reliability, security, governance, performance, and spend across the data platform, while building monitoring and self-service capabilities. Allowing the business to monetize data products at ’s work helps people make confident decisions on one of life’s biggest milestones: finding a home.

You’d support that mission by enabling trusted, scalable data across the organization.

What You'll Do:

Own the delivery, quality, reliability, and strategic evolution of the Snowflake Data Warehouse infrastructure supporting 900+ unique users and petabyte-scale analytics

Lead incident response and root cause analysis for production data pipeline failures; maintain and improve operational runbooks and SLA tracking

Prioritize and triage platform requests from a large user base; balance urgent operational needs against strategic platform improvements

Maintain comprehensive internal documentation including onboarding guides, runbooks, and architecture decision records for the Snowflake platform

Design and implement comprehensive Snowflake administration best practices including security frameworks (RBAC, masking, encryption), access control, and compliance requirements

Build and maintain advanced monitoring, alerting, and observability tools for Snowflake; develop Streamlit apps to track warehouse health, performance, and costs

Automate routine administration tasks (user provisioning, warehouse scheduling, access reviews) to reduce manual toil and enable self-service

Manage schema migration and configuration change processes across dev, staging, and production environments with appropriate review and rollback procedures

Develop optimization strategies and tools to reduce Snowflake infrastructure costs while maintaining or improving performance; lead continuous optimization initiatives

Partner with data engineering and analytics teams to design optimal data warehouse schemas and integration patterns that…
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