7 months ago
Scottsdale, AZ, USAStaff+

Responsibilities

  • Define and evolve long-term data architecture and technical standards across teams and platforms.
  • Design and oversee scalable, resilient, fault-tolerant, and cost-efficient cloud data systems using AWS.
  • Lead complex cross-domain data initiatives spanning multiple teams, systems, and business functions.
  • Act as a technical authority and escalation point for complex data engineering and architectural challenges.
  • Establish organization-wide practices for data quality, reliability, observability, security, governance, and compliance.
  • Drive alignment on data modeling, batch and real-time integration patterns, and platform usage.
  • Partner with engineering, analytics, and business leaders to translate strategic goals into technical data solutions.
  • Mentor senior engineers through design reviews, architecture forums, and technical guidance.
  • Apply AI and GenAI to engineering workflows, automation, data quality, and developer productivity.
  • Identify and reduce technical debt while balancing delivery with long-term platform health and sustainability.

Requirements

  • Bachelor's degree in a related field such as Computer Science, Information Systems, or Computer Engineering, or equivalent experience.
  • At least 8 years of experience in data engineering, software engineering, or platform engineering roles.
  • Experience designing and evolving large-scale, cloud-based data platforms in AWS.
  • Experience leading cross-team, multi-system data initiatives with long-term architectural impact.
  • Demonstrated ownership of mission-critical production data systems.
  • Expert-level knowledge of cloud data architectures and AWS data services.
  • Advanced data modeling and data warehousing design expertise.
  • Strong programming skills in Python, SQL, and/or Spark.
  • Deep understanding of distributed systems, data partitioning, performance tuning, and scalability.
  • Expertise in infrastructure-as-code, automation, data quality, observability, reliability, governance, security, and compliance practices.
  • Strong debugging and root-cause analysis skills across data pipelines and cloud infrastructure.
  • Experience applying AI or GenAI in production to engineering workflows, automation, data quality, or developer productivity.
  • Ability to influence technical direction across teams without direct people management and mentor senior engineers.

Benefits

  • Competitive compensation and benefits including medical, dental, and vision coverage.
  • Paid holidays, vacation, personal, family, volunteer, sick, jury duty, bereavement, military, and religious-observance leave.
  • Retirement and health savings benefits.
  • Employee recognition programs.
  • Discounts at Choice Hotels worldwide.
  • Four days onsite in a hybrid arrangement at the North Scottsdale office.

Tech Stack

Categories

Data Engineering
Choice Hotels International, Inc.

About Choice Hotels International, Inc.

5,001-10,000 employees

Choice Hotels International is a public lodging franchisor with a portfolio of brands including Comfort, Quality Inn, Clarion, Cambria, Sleep Inn, Econo Lodge, and the Ascend Hotel Collection, serving leisure and business travelers. It earns primarily from franchise fees and reservation, loyalty, and technology services provided to independently owned hotels. Founded in 1939 and headquartered in Rockville, Maryland, Choice trades on the NYSE (CHH) and franchises thousands of properties across the U.S. and internationally.

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