Tech Lead – Data Team
Carrier · Bengaluru, Karnataka, India
- On site
- Full-time
- $150,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Lead data solutions architect on AWS/GCP.
- Develop scalable, governed enterprise data products.
- Implement data quality and governance frameworks.
- Collaborate with business and engineering teams.
- Ensure solutions meet non-functional requirements.
About the role
Role: Tech Lead - Data Team
Carrier Global Corporation, a global leader in intelligent climate and energy solutions, is committed to creating impactful solutions for people and the planet. With a history of innovation, Carrier continues to lead through its diverse and customer-centric workforce.
About The Role
Carrier is seeking an experienced Tech Lead – Data to join their Unified Data & AI team. This role supports enterprise data initiatives across Finance and Master Data domains. The primary responsibilities include architecting, designing, and delivering scalable, reusable, and governed data products on AWS and GCP cloud platforms, utilizing Snowflake as a core component. The platform integrates data from over 60 ERP systems, requiring strong data harmonization, robust governance, and scalable architecture.
The ideal candidate will have advanced SQL and Python skills, practical experience with data quality tools (like Ataccama) and data catalogs (like Atlan), and the ability to translate complex requirements into production-ready, governed data solutions.
Key Responsibilities
Data Solution Architecture (AWS & GCP)
- Lead the design and technical architecture for data solutions on AWS and GCP, focusing on scalable ingestion, harmonization, and consumption-ready layers.
- Architect solutions to manage multi-ERP complexity and select cloud-native services for optimal performance, cost, security, and maintainability.
- Advanced SQL proficiency is essential; Snowflake experience is a plus.
Data Product Development & Engineering
- Deliver enterprise-grade data products (Customer, Vendor, Material, Finance) that are well-modeled, governed, reliable, reusable, and scalable.
- Enforce high SQL standards (Snowflake-compatible), drive Python-based engineering, and conduct technical reviews of pipelines and models.
Data Quality & Governance
- Lead the implementation of enterprise data quality frameworks using Ataccama.
- Implement data quality rules, controls, and remediation workflows.
- Drive metadata management and data catalog adoption (Atlan or similar), embedding governance, lineage, and stewardship in all data products.
Business Engagement & Requirement Translation
- Act as the liaison between business and engineering, translating complex business processes into scalable data models.
- Collaborate with Finance and Corporate stakeholders to refine requirements for analytics, reporting, and AI/ML use cases.
Platform & Multi-Cloud Collaboration
- Work across AWS, GCP, and Snowflake environments.
- Partner with platform architects, DevOps, and cloud operations to ensure adherence to enterprise standards and influence platform evolution from a data product perspective.
Non-Functional Requirements
- Ensure all solutions meet standards for performance, scalability, data security, reliability, cost efficiency (FinOps), and observability.
Stakeholder Communication & Governance
- Represent the team in architecture and governance forums, provide technical estimations, communicate technical concepts to diverse audiences, and proactively identify and mitigate technical risks.
Required Qualifications
- Minimum 8 years of experience in Data Engineering or Data Architecture.
- Mandatory hands-on experience with AWS and GCP (multi-cloud exposure required).
- Advanced SQL expertise (enterprise scale; Snowflake-compatible preferred).
- Strong Python programming skills.
- Hands-on experience with Ataccama.
- Experience with Atlan or similar data catalog/governance tools.
- Expertise in enterprise-grade data modeling.
- Proven experience designing scalable data pipelines and products.
- Experience building governed, reusable enterprise data models.
- Experience handling complex, multi-source ERP landscapes.
- Strong knowledge of data warehousing and analytics patterns.
- Experience with CI/CD, Infrastructure as Code, and DevOps practices.
- Experience supporting AI/ML workloads on data platforms.
- Track record as Tech Lead or Solution Owner in complex projects.
- Ability to balance architecture, scalability, and business needs.
Preferred Qualifications
- Experience with the Snowflake platform.
- Exposure to manufacturing, supply chain, or operational analytics.
- ERP experience (SAP ECC, JDE, Baan, etc.).
- Familiarity with Lakehouse or Data Product architectures.
- Experience promoting cloud-agnostic architecture principles.
Benefits
Carrier offers competitive benefits, including a retirement savings plan, health insurance, flexible schedules, parental leave, holiday purchase schemes, professional development opportunities, and an Employee Assistance Programme.
Our Commitment to You
Carrier values its employees' expertise, creativity, and passion. They strive to provide a great work environment that attracts, develops, and retains talent, fostering engagement, teamwork, and innovation. Carrier is committed to creating an inclusive environment where everyone belongs, with diversity and inclusion driving growth and innovation. They continuously improve programs and practices, offer enriching career opportunities, and value employee feedback.
Apply Now!
Carrier is an Equal Opportunity/Affirmative Action Employer.
Key skills/competency
- Tech Lead
- Data Architecture
- Data Engineering
- AWS
- GCP
- Snowflake
- Python
- SQL
- Data Quality
- Data Governance
Skills & topics
- Tech Lead
- Data Team
- Data Architecture
- Data Engineering
- AWS
- GCP
- Snowflake
- Python
- SQL
- Data Quality
- Data Governance
- Enterprise Data
- Multi-cloud
- ERP Integration
How to get hired
- Tailor your resume: Highlight experience with AWS, GCP, Snowflake, advanced SQL, and Python.
- Showcase leadership: Emphasize your Tech Lead or Solution Owner experience and ability to balance needs.
- Demonstrate technical skills: Detail your work with data quality tools like Ataccama and data catalogs like Atlan.
- Prepare for interviews: Be ready to discuss complex data challenges and your architectural solutions.
- Research Carrier: Understand their global impact in climate and energy solutions.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the primary cloud platforms for this Tech Lead Data Team role at Carrier?
- The Tech Lead – Data Team role at Carrier primarily focuses on AWS and GCP cloud platforms, with Snowflake being a core component of the data solutions.
- What level of SQL and Python expertise is required for the Tech Lead Data Team position?
- This role requires advanced SQL proficiency and strong Python programming skills. High SQL standards, compatible with Snowflake, are expected for enterprise-grade data products.
- Does Carrier require specific experience with data quality and cataloging tools for the Tech Lead Data Team job?
- Yes, the role mandates hands-on experience with data quality tools such as Ataccama (or similar) and data catalog tools like Atlan (or similar) for implementing governance and metadata management.
- What is the expected experience level for the Tech Lead Data Team role at Carrier?
- Candidates for the Tech Lead – Data Team position should have a minimum of 8 years of experience in Data Engineering or Data Architecture roles, with a proven track record as a Tech Lead or Solution Owner.
- What kind of data integration challenges will the Tech Lead Data Team address at Carrier?
- The Tech Lead – Data Team will address challenges related to integrating data from over 60 ERP systems, requiring strong harmonization, robust governance, and scalable architecture to manage complex, multi-source landscapes.
- Is experience with specific ERP systems necessary for the Tech Lead Data Team role?
- While not mandatory, experience with ERP systems like SAP ECC, JDE, or Baan is preferred for the Tech Lead – Data Team role, given the integration needs from a complex multi-ERP landscape.
- What are the key non-functional requirements for data solutions at Carrier?
- All data solutions must meet standards for performance, scalability, data security, reliability, cost efficiency (FinOps), and observability. The Tech Lead will ensure these standards are met.