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Climate Data Analytics Jobs in Georgia (NOW HIRING)

Carrier

AI & Data Solution Architect

Atlanta, GA · On-site

Through cutting-edge advancements in climate solutions such as temperature control, air quality and ... Lead end-to-end architecture design for complex data, analytics, and AI initiatives, ensuring ...

Carrier

MDG Functional Analyst

Atlanta, GA · On-site

$96K - $192K/yr

Through cutting-edge advancements in climate solutions such as temperature control, air quality and ... Experience in Data migration to and from MDG, Consolidation, Data Validations & Derivations

Wood Plc

Principal Consultant - TCFD and ESG

Atlanta, GA · On-site +1

Bachelor's degree with focus on Business Administration, Economics, Sustainability, Data Analytics, Environmental Services * 15+ years related experience * Demonstrated expertise working with climate ...

Wood Plc

Principal Consultant - TCFD and ESG

Atlanta, GA · On-site +1

Bachelor's degree with focus on Business Administration, Economics, Sustainability, Data Analytics, Environmental Services * 15+ years related experience * Demonstrated expertise working with climate ...

Wood Plc

Principal Consultant - TCFD and ESG

Atlanta, GA · On-site +1

Bachelor's degree with focus on Business Administration, Economics, Sustainability, Data Analytics, Environmental Services * 15+ years related experience * Demonstrated expertise working with climate ...

Wood Plc

Principal Consultant - TCFD and ESG

Atlanta, GA · On-site +1

Bachelor's degree with focus on Business Administration, Economics, Sustainability, Data Analytics, Environmental Services * 15+ years related experience * Demonstrated expertise working with climate ...

GEI Consultants

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics ... We are GEI. Some of the world's most pressing problems - from climate change to sustainable ...

GEI Consultants

Data Engineer

Atlanta, GA

$90K - $150K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics ... We are GEI. Some of the world's most pressing problems - from climate change to sustainable ...

Carrier

Process Quality Engineer

Athens, GA · On-site

$64K - $129K/yr

Through cutting-edge advancements in climate solutions such as temperature control, air quality and ... Analyze production and quality data toidentifytrends and drive continuous improvement initiatives

Carrier

Process Quality Engineer

Athens, GA · On-site

$64K - $129K/yr

Through cutting-edge advancements in climate solutions such as temperature control, air quality and ... Analyze production and quality data to identify trends and drive continuous improvement initiatives

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Climate Data Analytics information

What are the main challenges faced by professionals working in climate data analytics, and how can they be addressed?

Professionals in climate data analytics often encounter challenges such as working with large, complex datasets from diverse sources, ensuring data accuracy, and translating analytical findings into actionable insights for stakeholders. To address these challenges, it's important to develop strong programming skills, stay current with data processing tools, and maintain rigorous data validation protocols. Collaboration with climate scientists, policy experts, and IT professionals is also key to ensuring the analysis is both scientifically robust and relevant to decision-making.

What is climate data analytics?

Climate data analytics is the process of collecting, processing, and interpreting large volumes of climate and weather-related data to identify patterns, trends, and insights. Professionals in this field use statistical analysis, machine learning, and data visualization tools to study factors such as temperature changes, precipitation, extreme weather events, and greenhouse gas emissions. The insights gained help inform policy decisions, support climate change mitigation and adaptation strategies, and improve weather forecasting. This field is important for governments, businesses, and researchers aiming to understand and address the impacts of climate change.

What are the key skills and qualifications needed to thrive as a Climate Data Analyst, and why are they important?

To thrive as a Climate Data Analyst, you need a solid background in environmental science, statistics, and data analysis, often supported by a relevant degree such as environmental science, meteorology, or data science. Familiarity with programming languages (like Python or R), GIS software, and climate modeling tools is typically required, along with experience in handling large datasets. Attention to detail, problem-solving abilities, and strong communication skills help analysts interpret complex data and convey findings to diverse audiences. These skills are crucial for generating accurate climate insights that inform policy, research, and sustainability initiatives.
What are popular job titles related to Climate Data Analytics jobs in Georgia? For Climate Data Analytics jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Climate Data Analytics jobs in Georgia look for? The top searched job categories for Climate Data Analytics jobs in Georgia are:
What cities in Georgia are hiring for Climate Data Analytics jobs? Cities in Georgia with the most Climate Data Analytics job openings:
Climate Data Analytics jobs near you
AI & Data Solution Architect

AI & Data Solution Architect

Carrier

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Carrier rating

7.1

Company rating: 7.1 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

276th of 417 rated machine equipment manufacturers

Job description

About Carrier
Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier.
About the Role
Carrier is seeking a highly skilled and forward-thinking AI & Data Solution Architect to lead the design, architecture, and delivery of enterprise-scale Data, Analytics, and AI solutions across the organization. This role will play a critical part in defining enterprise data and AI architecture standards, shaping cloud-first platforms, and enabling scalable, secure, and cost-efficient adoption of analytics, machine learning, and generative AI.
The ideal candidate brings deep expertise across GCP, AWS, and Snowflake, strong experience with modern data platforms and lakehouse architectures, and proven leadership in AI/ML, Generative AI, and MLOps/LLMOps initiatives in production environments.
Key Responsibilities
Strategic & Architectural Leadership
  • Define and evolve Carrier's AI & Data architecture strategy and roadmap, aligned with business priorities and IT strategy.
  • Serve as a thought leader for modern data, analytics, and AI architectures, including Generative AI and Agentic AI.
  • Identify, evaluate, and recommend emerging technologies, platforms, and architectural patterns.
  • Partner with business and digital leaders to identify and prioritize high-impact AI and analytics use cases.
  • Provide architectural guidance on ethical, responsible, and compliant AI adoption.

Solution Architecture & Platform Design
  • Lead end-to-end architecture design for complex data, analytics, and AI initiatives, ensuring scalability, performance, security, and cost efficiency.

Design and govern cloud-based data platforms leveraging:
  • Google Cloud Platform (BigQuery, Vertex AI, Dataflow, Dataproc, Looker)
  • AWS (S3, Glue, EMR, Redshift, SageMaker, Lambda)
  • Snowflake (data warehouse, data sharing, performance optimization)

Architect modern enterprise data architectures, including:
  • Data Lake, Lakehouse, Data Mesh, and Data Fabric
  • Open table/file formats such as Parquet, Iceberg, Delta Lake
  • Medallion architectures (Bronze/Silver/Gold)
  • Define data ingestion and integration patterns across structured and semi-structured sources (SAP, Oracle, Salesforce, JDE, Ariba, IoT, APIs, NoSQL).
  • Define and enforce data quality, metadata, lineage, and access control standards.

AI, ML, and Generative AI Architecture
  • Design and implement AI/ML and GenAI solution architectures from experimentation through production.
  • Architect solutions for core ML use cases such as demand forecasting, predictive maintenance, supply chain optimization, and customer analytics.

Lead architecture for Generative AI and Agentic AI, including:
  • LLM integration with tools, APIs, and knowledge bases (RAG patterns)
  • Autonomous and semi-autonomous agent workflows
  • Fine-tuning, prompt engineering, and optimization strategies
  • Establish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and lifecycle management.
  • Define approaches for model observability, explainability (XAI), bias detection, and risk mitigation.

Technical Leadership & Collaboration
  • Provide technical leadership and mentorship to solution architects, data engineers, data scientists, and AI engineers.
  • Collaborate closely with platform, DevOps, and cloud engineering teams to enable automation-driven deployments.
  • Review solution designs, conduct architecture assessments, and provide impact analysis and recommendations.
  • Communicate complex technical concepts clearly to both technical and executive audiences.

Required Qualifications
  • Bachelor's Degree in engineering or technical discipline.
  • 8+ years hands-on experience in data architecture, analytics solutions, and/or cloud data platforms.
  • 3+ years of hands-on experience delivering AI/ML and Generative AI solutions in production.
  • 6+ years of experience designing and scaling enterprise data platforms on GCP, AWS, and Snowflake.
  • Must have unrestricted authorization to work in the USA. No visa sponsoring available.

Preferred Qualifications
  • Master's degree or Ph.D. preferred.
  • Demonstrated success leading large-scale, cross-functional data and AI initiatives.
  • Cloud platforms: GCP and AWS (multi-cloud experience strongly preferred)
  • Data platforms: Snowflake, BigQuery, Data Lakes, Lakehouse architectures
  • Programming & analytics: Python, SQL, PySpark
  • AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost)
  • GenAI/LLM frameworks, vector databases, graph databases
  • Data engineering tools (Spark, Kafka, Hadoop)
  • Containerization and orchestration (Docker, Kubernetes)
  • CI/CD and DevOps practices
  • Strong understanding of data modeling, performance tuning, and cost optimization.
  • Strong architectural thinking and problem-solving skills.
  • Excellent communication and stakeholder management capabilities.
  • Ability to influence without authority and operate effectively in matrixed organizations.
  • Self-driven, organized, and able to manage multiple priorities.

Preferred Certifications
  • AWS Certified Solutions Architect
  • Google Cloud Professional Cloud Architect
  • Snowflake or Data Engineering certifications

Pay Range
The annual salary for this position is between $96,000.00 - $192,000.00 annually. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualifications of the successful candidate.
Other Compensation
This position is entitled to short-term cash incentives, subject to plan requirements.
Benefits
Employees are eligible for benefits, including:
  • Health Care Benefits: Medical, Dental, Vision; Wellness incentives
  • Retirement Benefits
  • Time off and Leave: Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty leave; military leave; purchased vacation
  • Disability: Short-term and long-term disability
  • Life Insurance and Accidental Death and Dismemberment
  • Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account
  • Tuition Assistance

To learn more about our benefits offering, please click here Work with us | Carrier CorporateThe specific benefits available to any employee may vary depending on state and local laws and eligibility factors, such as date of hire and the applicability of collective bargaining agreements.
Carrier EEO Statement and Accommodations Process
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 Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
If you require a reasonable accommodation to complete the application process, participate in an interview, or otherwise engage in the hiring process, please contact us at Carrier.Recruiting@carrier.com. We will make every effort to meet your needs in accordance with applicable laws.
Application Deadline
Applications will be accepted for at least 3 days from Job Posting Date: 22 May 2026
Job Applicant's Privacy Notice
Please click on the link to review the Job Applicant Privacy Notice.
Use of AI
Technology-enabled tools may support parts of the recruitment process, with oversight by people.

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About Carrier

Sourced by ZipRecruiter

Carrier is the leading global provider of healthy, safe and sustainable building and cold chain solutions with a world-class, diverse workforce with business segments covering HVAC, refrigeration, and fire and security. We make modern life possible by delivering safer, smarter and more sustainable services that make a difference to people and our planet while revolutionizing industry trends. This is why we come to work every day. Join us and we can make a difference together.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Palm Beach Gardens, FL, US

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