Manager, AI & Data Engineering

Role:  Manager, AI & Data Engineering

Location: Bangalore

Full/ Part-time: Full time 

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, life-saving 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 centre of everything we do. For more information, visit corporate.carrier.com or follow Carrier on social media at @Carrier. 

About Role

Designs, builds, and evolves enterprise data and AI capabilities that enable reliable, secure, and scalable digital solutions across the organization.

Job Description

The Tech Lead – Data Solutions & Data Products is a senior technical leader responsible for architecting, designing, and delivering scalable data solutions and data products on AWS and Google Cloud Platform (GCP). 
This role combines deep hands‑on technical expertise with architecture leadership and team guidance. The Tech Lead drives solution design, sets engineering standards, and ensures data products are robust, secure, scalable, and aligned to business outcomes. You will act as the technical anchor between architects, engineers, product owners, and platform teams. 
This is a high‑impact role requiring strong judgment, system‑level thinking, and the ability to translate complex requirements into practical, production‑ready solutions. 

1. Data Solution Architecture (GCP & AWS) 

• Lead the end‑to‑end technical design of data solutions across GCP and AWS, ensuring alignment with enterprise architecture standards.

• Design scalable architectures for data ingestion, processing, storage, and consumption, including batch and streaming use cases. 

• Select appropriate cloud services and patterns while balancing performance, cost, security, and maintainability. 

• Review and approve technical designs and solution approaches proposed by the engineering team. 

2. Data Product Development Leadership 

• Lead the technical delivery of data products, ensuring they are: 

• Well‑modeled and consumption‑ready 

• Governed, documented, and reliable 

• Built for reuse and scalability 

• Partner with Data Product Owners to translate business requirements into clear technical designs and implementation plans. 

• Ensure data products support analytics, reporting, and downstream AI/ML use cases. 

3. Technical Guidance & Team Leadership 

• Act as the primary technical mentor for data engineers and senior engineers. 

• Set and enforce coding standards, design patterns, and best practices. 

• Guide teams through complex problem‑solving and architectural trade‑offs. 

• Perform technical reviews for code, pipelines, and infrastructure changes. 

4. Platform & Engineering Collaboration 

• Work closely with platform architects, DevOps, and cloud operations teams to ensure solutions align with platform capabilities and guardrails. 

• Influence platform evolution by providing feedback from solution and data product perspectives. 

• Ensure solutions are operationally ready (monitoring, alerting, supportability). 

5. Non‑Functional Excellence 

• Ensure data solutions meet non‑functional requirements, including: 

• Performance and scalability 

• Security and access control 

• Reliability and recoverability 

• Cost efficiency (FinOps awareness) 

• Proactively identify and mitigate technical risks. 

6. Stakeholder Engagement & Technical Communication 

• Communicate complex technical concepts clearly to both technical and non‑technical stakeholders. 

• Provide technical input for estimation, planning, and prioritization. 

• Support architecture reviews and technical governance forums. 

• Required Qualifications 

• 8+ years of experience in data engineering, data architecture, or data platform roles. 

• Proven experience architecting and delivering data solutions on GCP and AWS. 

• Strong hands‑on experience building production‑grade data pipelines and data products. 

• Deep understanding of: 

• Data modeling and analytics patterns 

• Batch and streaming architectures 

• Cloud‑native design principles 

• Strong programming skills (e.g., Python, SQL) and experience with modern data frameworks. 

• Ability to make sound architectural decisions under real‑world constraints. 

Preferred Qualifications 

• Experience with manufacturing analytics, supply chain analytics, or operational reporting. 

• Experience working with Lakehouse or modern data platform architectures. 

• Familiarity with CI/CD, Infrastructure as Code, and DevOps practices. 

• Experience supporting AI/ML workloads on top of data platforms. 

• Prior experience acting as a technical lead or solution owner for complex initiatives. 

• Exposure to multi‑cloud or cloud‑agnostic design principles. 

Key Skills: GCP, AWS 

Experience: 10 Yrs to 12Yrs (2 company prior exp)  

Benefits

We offer a competitive total rewards package that may include other benefits and well‑being programs. Offerings vary by role and location and are designed to support employees’ health, security, and success. 

Equal Treatment and Non-Discrimination

Carrier is committed to equal treatment and non-discrimination principles. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability, or any other applicable protected class.    

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  [email protected].We will make every effort to meet your needs in accordance with applicable laws. 

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Use of AI in Recruitment

Technology enabled tools may support parts of the recruitment process, with oversight by people. 

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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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