Overview:
Atlas Air is looking for a highly skilled and experienced Senior Director of Data Platform and Engineering to lead our data engineering organization and drive our data infrastructure strategy forward. This individual will play a key role in helping lead the transformation of Atlas Air into a data driven and innovative leader in the transportation and logistics industry. This role will report to the VP of Data & Analytics.
We are building an industry leading data team and the Senior Director of Data Platform and Engineering will drive the development of our data platform from a legacy, multi-solution data environment to a modern data platform built on Databricks. We are looking for an enthusiastic, hands-on, get-it-done, team-driven leader with experience in building secure, scalable and high performing data infrastructure.
The Senior Director of Data Platform and Engineering will partner with senior stakeholders across the company to help teams draw insights from their data. As one of the company’s key data evangelists, you will help embed a data-driven culture across the company. You will oversee the development of our data platform and implementation of robust data pipelines, solutions, and infrastructure while leading a team of talented engineers.

Responsibilities:

• Lead and mentor a team of data engineers, fostering innovation, growth, and technical excellence.
• Define and execute the strategic roadmap for data engineering initiatives aligned with business objectives.
• Design scalable, reliable, and efficient data architectures to support analytics, machine learning, and business intelligence.
• Partner with cross-functional leaders to understand data requirements and deliver impactful solutions.
• Establish data engineering best practices, standards, and governance processes.
• Drive the selection, implementation, and optimization of data technologies and tools.
• Ensure data quality, reliability, and security across all data systems.
• Manage project prioritization, resource allocation, and budget for the data engineering function.
• Build and maintain strong relationships with key stakeholders across the organization.

Qualifications:

• 10+ years of progressive experience in data engineering, with at least 5 years in leadership roles.
• Proven track record of successfully building and leading high-performing data engineering teams.
• Deep hands-on technical expertise in data integration, ETL/ELT processes, and data modeling.
• Strong knowledge of modern data stack technologies (e.g., Snowflake, Databricks, Airflow, dbt).
• Experience with cloud platforms (AWS, GCP, or Azure) and their data services.
• Excellent understanding of data governance, compliance, and security principles.
• Outstanding communication and interpersonal skills with the ability to influence at all levels.
• Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred.

PREFERRED QUALIFICATIONS:

• Knowledge of real-time data processing frameworks and streaming technologies.
• Background in machine learning operations (MLOps) and data science infrastructure.
• Experience working in the aviation, transportation, or logistics industry or with similar data challenges.
• Track record of speaking at industry conferences or publishing on data engineering topics.
  Salary Range: $210,000 - 250,000
  Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.
  The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
  If you’d like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at http://www1.eeoc.gov/employers/poster.cfm.
  To view our Pay Transparency Statement, please click here: Pay Transparency Statement

• Lead and mentor a team of data engineers, fostering innovation, growth, and technical excellence.
• Define and execute the strategic roadmap for data engineering initiatives aligned with business objectives.
• Design scalable, reliable, and efficient data architectures to support analytics, machine learning, and business intelligence.
• Partner with cross-functional leaders to understand data requirements and deliver impactful solutions.
• Establish data engineering best practices, standards, and governance processes.
• Drive the selection, implementation, and optimization of data technologies and tools.
• Ensure data quality, reliability, and security across all data systems.
• Manage project prioritization, resource allocation, and budget for the data engineering function.
• Build and maintain strong relationships with key stakeholders across the organization