Director of Engineering, Data & AI Platforms
@ Xplor

Atlanta, Georgia, United States
On Site
Full-time
Posted 3 days ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXX*******@xplortechnologies.com
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Job Details

Company Overview

At Xplor, we provide cloud-based, intuitive technology solutions that help businesses manage daily operations and focus on what they love.

Role Overview

We are seeking a visionary Director of Data & AI Platforms. In this role, you will transform raw data into a core enterprise asset through advanced analytics, machine learning, and Generative AI initiatives.

Responsibilities

  • Develop and execute a comprehensive data and AI strategy.
  • Lead, mentor, and grow a high-performing data team.
  • Design a unified data architecture and scalable pipelines using Snowflake and modern frameworks.
  • Drive data productization from curated datasets to predictive models.
  • Manage budgets and oversee data governance, quality, and compliance.
  • Collaborate cross-functionally to align technical solutions with business objectives.

Qualifications

  • Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
  • 10+ years in data engineering, architecture, or data science.
  • 5+ years in a formal leadership role managing technical teams.
  • Expertise in Snowflake, Spark, Coalesce, dbt, and cloud platforms (AWS/Azure).
  • Proven success in enterprise-level AI/ML initiatives and data governance.

Life at Xplor

Experience a global network of talented colleagues with flexible working arrangements, outstanding benefits such as 12 weeks of gender neutral paid parental leave, social impact days, unlimited LinkedIn Learning access, and robust career growth initiatives. Join a company that values simplicity, people, purpose, and lasting communities.

How to Get Hired at Xplor

🎯 Tips for Getting Hired

  • Research Xplor's culture: Study their mission, values, and team reviews on LinkedIn.
  • Customize your resume: Emphasize leadership and data strategy experience.
  • Highlight tech expertise: Include Snowflake, Spark, and AWS projects.
  • Prepare for interviews: Discuss strategic decisions and cross-functional projects.

📝 Interview Preparation Advice

Technical Preparation

Review Snowflake documentation and cloud guides.
Practice building data pipelines with Spark.
Study modern frameworks like dbt and Coalesce.
Review API integration and data governance concepts.

Behavioral Questions

Describe past leadership challenges.
Detail a strategic decision-making experience.
Explain cross-team collaboration examples.
Discuss handling high-pressure projects.

Frequently Asked Questions