Associate Director, Data Engineering

Country:

United States of America

Location:

CAG24: Atlanta Digital Hub 3350 Riverwood Parkway Suite 900, Atlanta, GA, 30339 USA

Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow Carrier on social media at @Carrier.

About This Role

The Associate Director, Data Engineering leads the design and delivery of scalable, governed, and high-performance data pipelines that enable analytics, reporting, and AI/ML across the enterprise. As a senior leader in the data platform organization, you will oversee the engineering function responsible for designing and managing data flows from ingestion to transformation and activation. You will work cross-functionally to ensure data is secure, trusted, and available when and where it’s needed—minimizing the time from data to insight.

Key Responsibilities:

Leadership & Strategy

• Define and execute the data engineering roadmap in alignment with enterprise data and AI goals.
• Lead a team of data engineers responsible for developing and supporting real-time and batch data pipelines.
• Foster a culture of engineering excellence, continuous improvement, and delivery at scale.

Data Engineering & Architecture

• Oversee the development of modular, reusable pipelines using Spark, Airflow, AWS Glue, and Nexla to support batch, real-time, and CDC use cases.
• Champion scalable architecture patterns leveraging Amazon S3 and Apache Iceberg for decoupled storage and compute.
• Integrate systems using event-driven and streaming architectures (e.g., AWS Kinesis, Kafka, AWS DMS) to support timely, governed data delivery.
• Ensure metadata, data quality, lineage, and access controls are embedded in every pipeline.

Cross-Functional Collaboration

• Partner with Data Scientists, Business Analysts, Product Owners, and Platform Engineers to ensure engineering solutions meet business needs.
• Work closely with Governance, Security, and FinOps teams to ensure data engineering aligns with policy, compliance, and cost-efficiency goals.
• Support and enable data discovery, analytics, and AI/ML through integrations with AWS SageMaker, AWS DataZone, and business-aligned data products.

Required Qualifications:

• Bachelor’s Degree.
• 8+ years of experience in data engineering or analytics engineering.
• 5+ years in a technical leadership or architect role.
• 5+ years of experience in Core Data Engineering & Cloud Platforms: AWS (S3, Glue, Kinesis, DMS), Snowflake.
• 5+ years of experience AI/ML & Discovery: AWS SageMaker or JupyterHub.
• 3+ years of experience Transformation Frameworks: dbt or sqlmesh.
• 5+ years of experience implementing and managing scalable data pipelines and platform capabilities in complex, enterprise environments.

Preferred Qualifications:

• Master’s degree in Computer Science, Data Engineering, or related field.
• Experience with Apache Iceberg, Apache Spark, Apache Airflow
• Data Integration & Automation: Nexla
• Strong understanding of data architecture principles, observability, CI/CD, and cloud-native DevOps practices.
• Strong understanding of automation, automation principles, and different aspects of pipelines and automation delivery.
• Excellent communication, stakeholder engagement, and cross-functional leadership skills.
• Agile/Lean background for projects and project delivery.
• Advanced strategic capability with cloud delivery models.
• Deep understanding of advanced security segmentation and controls.

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RSRCAR

Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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