Tech Lead Data Team

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