Staff Data Engineer

News Corp is looking for a Staff Data Engineer to lead administration, optimization, and the strategic evolution of the enterprise Snowflake platform supporting Realtor.com Data Operations. In this onsite Austin role, you will own reliability and incident response for production data pipeline failures, while strengthening monitoring, automation, and security and compliance controls.

Role overview

• 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, maintaining and improving operational runbooks and SLA tracking
• Prioritize and triage platform requests from a large user base, balancing urgent operational needs with strategic platform improvements
• Maintain comprehensive internal documentation, including onboarding guides, runbooks, and architecture decision records

Platform engineering and administration

• Design and implement Snowflake administration best practices, including security frameworks such as RBAC, masking, encryption, access control, and compliance requirements
• Build and maintain advanced monitoring, alerting, and observability tooling for Snowflake
• Develop Streamlit apps to track warehouse health, performance, and costs
• Automate routine administration tasks, including user provisioning, warehouse scheduling, and access reviews, to reduce manual toil and enable self-service
• Manage schema migration and configuration changes across dev, staging, and production environments with review and rollback procedures
• Develop optimization strategies and tools to reduce Snowflake infrastructure costs while maintaining or improving performance, leading continuous optimization initiatives

Data governance, collaboration, and leadership

• Establish and enforce data governance policies, data quality standards, and compliance controls, ensuring regulatory requirements including CCPA are met
• Partner with data engineering and analytics teams to design optimal data warehouse schemas and integration patterns that support business requirements
• Mentor and guide team members on Snowflake DBA activities, best practices, and emerging technologies; serve as a subject matter expert for data warehouse architecture
• Work cross-functionally with Product Managers, Data Engineers, and Analytics teams to understand requirements and deliver solutions
• Actively evaluate new technologies and approaches and recommend ways to evolve and modernize data platform capabilities
• Perform technical presentations and architecture reviews with internal stakeholders and leadership
• Operate in a primarily Agile/Scrum product development process

Requirements

• 8+ years of experience in data platform engineering or database administration roles
• 4+ years of hands-on experience administering and optimizing Snowflake in production environments
• Deep technical knowledge of Snowflake architecture, including compute/storage separation, query optimization, clustering, materialized views, and time travel
• Strong proficiency in SQL with expertise in data structures, data integrity, schema design, and dimensional modeling best practices
• Proficiency in Python or other scripting languages for automation, tooling, and operational workflows
• Demonstrated ability to manage and prioritize competing requests across a large, diverse user base
• Demonstrated experience driving technical initiatives as a technical lead and subject matter expert in data warehouse administration
• Experience with cloud-based architectures (AWS, GCP, or Azure) and familiarity with development, testing, and deployment automation practices
• Experience using Infrastructure as Code (IaC) tools such as Terraform to provision, manage, and automate cloud infrastructure
• Experience building or designing monitoring, alerting, and observability tools/platforms
• Strong understanding of data security, governance, and compliance frameworks (RBAC, data masking, encryption, audit logging)
• Ability to mentor and guide other engineers, with strong communication and presentation skills
• Motivation to build great solutions and codebases in a fast-paced environment
• Bachelor’s degree in Computer Science, Engineering, or related field

Technologies

• Snowflake, SQL, Python, Streamlit
• RBAC, AWS, GCP, Azure
• Terraform, IaC, Airflow, Dataform, dbt
• Agile/Scrum
• CCPA

Benefits

• Inclusive and competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Nice to have

• Experience with SOX compliance implementation
• Experience with data pipeline orchestration tools (Airflow, Dataform, dbt)
• Experience building internal self-service portals or tooling for data platform consumers
• Familiarity with IT service management practices (change management, capacity planning)
• Experience managing or optimizing Snowflake commercial agreements and credit commitments
• Knowledge of FinOps or cloud cost optimization best practices
• Experience implementing data mesh or lakehouse architectures
• Certifications related to Snowflake or cloud platforms
• Open source contributions or published research in data engineering/analytics

How we work

• We balance creativity and innovation on a foundation of in-person collaboration.
• For most roles, employees work four or more days in the office.

Location: Austin, TX, United States (onsite)