Top Data & Analytics Jobs in Austin, TX

Build and scale data pipelines, APIs, integrations, and data models supporting CRM personalization, segmentation, audience activation, and campaign measurement. Ensure pipeline reliability through monitoring, alerting, and logging; automate workflows; document systems; participate in architecture and code reviews; and mentor junior engineers. Collaborate with data engineering, data science, and CRM teams to improve personalized email, push, and SMS engagement for millions of users.

Own the technical strategy, architecture, and roadmap for enterprise clickstream data collection across web and mobile products. Define event taxonomies, instrumentation specifications, data contracts, and measurement standards; validate data quality using SQL and Snowflake; investigate tracking discrepancies; and drive architectural improvements. The role partners across engineering, product, marketing, analytics, and QA, while mentoring technical teams and promoting governed, self-service analytics.

Architect and lead enterprise data quality, observability, and validation frameworks for lead management systems. Own data integrity across ingestion, processing, and delivery pipelines; define data contracts, governance standards, SLAs, dashboards, and alerting. Diagnose systemic issues across distributed data flows, drive scalable architectural solutions, advise senior stakeholders, and mentor data engineers. Partner cross-functionally with Engineering, Product, and Data Science to improve reliability, customer fulfillment, and marketplace performance.

Own the measurement framework for a marketplace product, including KPIs, dashboards, instrumentation, reporting, experimentation, statistical modeling, forecasting, and opportunity sizing. Analyze product engagement, conversion funnels, feature performance, and NPS drivers. Partner with Product, Marketing, Sales, and data teams to deliver actionable insights, improve analytics capabilities, and influence commercial and product decisions.

Leads Realtor.com’s enterprise Data & Analytics organization, overseeing data engineering, governance, data science, BI, experimentation, pricing, revenue management, lead intelligence, and data commercialization. Defines data strategy and architecture, advances AI capabilities, develops pricing and predictive models, partners with executives and cross-functional teams, and scales a multidisciplinary organization. Requires deep technical expertise, executive leadership, advanced analytics experience, and strong communication skills.

Lead the technical strategy and architecture for a modern, real-time enterprise data platform. Design scalable data models, ingestion strategies, governance, security, compliance, and cost-optimization initiatives. Drive the data roadmap across multiple squads, make strategic technical decisions, collaborate with business stakeholders, troubleshoot complex issues, and mentor engineers. The role requires hands-on leadership in data architecture, real-time platforms, and enterprise data strategy.