Role: Tech Lead - Data Solutions & Data Products

Location: Hyderabad / Bangalore

Full/ Part-time: Full time

Build a career with confidence

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.

About the role:

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.

Key Responsibilities:

1. Data Solution Architecture (AWS & GCP)

• Lead the end‑to‑end technical design of data solutions across AWS and GCP, 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

• 6 to 10 years of experience in data engineering, data architecture, or data platform roles.
• Proven experience architecting and delivering data solutions on AWS and GCP.
• 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.

Benefits

We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary.

• Enjoy your best years with our retirement savings plan
• Have peace of mind and body with our health insurance
• Make yourself a priority with flexible schedules, parental leave and our holiday purchase scheme
• Drive forward your career through professional development opportunities
• Achieve your personal goals with our Employee Assistance Programme.

Our commitment to you

Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.

Join us and make a difference.

Apply Now!

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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