Overview
On Site
Full Time
Skills
Energy
Value Engineering
Social Media
Reporting
Data Flow
Roadmaps
Continuous Improvement
Real-time
Change Data Capture
Use Cases
Storage
Streaming
Apache Kafka
Meta-data Management
Data Quality
Access Control
Embedded Systems
Collaboration
Analytics
IT Management
Core Data
Amazon Web Services
Amazon S3
Amazon Kinesis
DMS
Snow Flake Schema
Artificial Intelligence
Machine Learning (ML)
Amazon SageMaker
Management
Computer Science
Data Engineering
Apache HTTP Server
Apache Spark
Apache Airflow
Data Integration
Data Architecture
Continuous Integration
Continuous Delivery
DevOps
Communication
Stakeholder Engagement
Leadership
Agile
Lean Methodology
Project Delivery
Cloud Computing
Regulatory Compliance
Privacy
Job Details
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
Data Engineering & Architecture
Cross-Functional Collaboration
Required Qualifications:
Preferred Qualifications:
#LI-Hybrid
RSRCAR
Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
Job Applicant's Privacy Notice:
Click on this link to read the Job Applicant's Privacy Notice
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.
#LI-Hybrid
RSRCAR
Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
Job Applicant's Privacy Notice:
Click on this link to read the Job Applicant's Privacy Notice
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.