Senior Level Cloud Data Engineer Jobs
Senior level cloud data engineer jobs put experienced engineers in charge of cloud data architecture decisions, pipeline ownership, and the cross-functional teams that deliver production-grade data systems at scale. Roles are distributed across on-site, remote, and hybrid settings in Technology & Software, Investment & Asset Management, and Automotive, with employers like Ketjen, Mizuho, and Rippling hiring at this level now.
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Company Overview
For more than 70 years, TBC Corporation has been a leader in the mobility industry and one of North America’s largest marketers and distributors of automotive replacement tires through wholesale operations. Additionally, TBC responds to the needs of consumers in search of total car care at nearly 470 franchised tire and automotive service centers under the award-winning Big O Tires® brand. TBC is headquartered in Palm Beach Gardens, Florida.
With $5 billion in revenue and more than 3,000 employees in the U.S. and Mexico, TBC markets on a wholesale basis to regional tire chains and distributors serving independent tire dealers and with proprietary brands of tires specializing in passenger, commercial, farm and specialty tires. In 2005, TBC Corp. was purchased by Sumitomo Corporation of America (SCOA). SCOA is the largest subsidiary of Sumitomo Corporation, one of Japan’s major integrated trading and investment business enterprises. In 2018, Michelin, the largest tire manufacturer in Europe, invested in the company which is now a 50:50, privately held joint venture between Sumitomo and Michelin.
Our values are the foundation of our work, how we interact with each other, and the strategies we employ to fulfill our purpose. These are the practices we use every day – in everything we do:
- Integrity - We act honestly because nothing is more important than our reputation.
- Teamwork - We are better together.
- People-Focused - We put people first – our Associates, customers, franchisees, and partners – and cultivate a respectful, collaborative, and inclusive culture, top to bottom, inside and out.
- Accountability - We own our actions and decisions; we do what we say we are going to do.
- Leave Everything Better - We innovate to improve everything we touch, and we take actions now to protect the future.
Description
The Cloud & Data Architect is responsible for defining and executing TBC's enterprise data architecture and Unified Data Platform (UDP) strategy. This role provides leadership across data, cloud, integration, analytics, and AI-enablement initiatives, establishing a scalable, governed, and future-ready data foundation for the enterprise.
The Cloud & Data Architect will lead the modernization and simplification of TBC's data ecosystem by consolidating disparate platforms, establishing enterprise data standards, defining target-state architectures, and guiding migration from legacy technologies to a unified cloud-based data platform. The role partners closely with business stakeholders, delivery teams, Enterprise Architecture, Data Governance, Infrastructure, and application teams to ensure enterprise data is trusted, accessible, secure, and aligned with business objectives.
This position serves as the enterprise authority for data architecture, data platform strategy, data modernization, and AI readiness while promoting simplification, standardization, operational excellence, and technology reuse across the organization.
Responsibilities
Enterprise Data Strategy & Architecture
- Own and evolve TBC's enterprise data architecture strategy and target-state data roadmap.
- Define and implement the Unified Data Platform (UDP) architecture that establishes governed, reusable, and real-time data assets supporting enterprise analytics, operational intelligence, enterprise services, APIs, and digital commerce experiences.
- Establish enterprise data standards, canonical data models, reference architectures, and architecture principles.
- Develop long-term strategies to simplify and modernize TBC's data landscape.
Data Platform Modernization
- Lead consolidation of disparate data platforms, warehouses, marts, and reporting repositories into a simplified enterprise data platform.
- Drive migration strategies from legacy technologies including Teradata, SQL Server, and other existing platforms to target-state cloud-based architectures.
- Design modern data lake, lakehouse, warehouse, and real-time data processing architectures where appropriate.
- Identify opportunities to eliminate redundant data pipelines, platforms, integrations, and tools.
Data Governance & Quality
- Partner with Data Governance teams to establish enterprise data ownership, stewardship, quality standards, and business definitions.
- Define enterprise data domains, metadata standards, lifecycle management, and master data strategies.
- Support development of trusted and governed enterprise data assets.
- Ensure data solutions meet security, compliance, privacy, and regulatory requirements.
Cloud & Platform Architecture
- Define scalable cloud-native data platform architectures.
- Partner with infrastructure and platform teams to establish resilient, secure, observable, and cost-effective cloud data services.
- Design high-availability, disaster recovery, backup, and operational support strategies for enterprise data platforms.
- Evaluate and optimize platform utilization, performance, scalability, and operational cost.
Integration & Data Consumption
- Define patterns for application, API, event-driven, and service-based data consumption.
- Collaborate with application and solution architects to ensure enterprise data can be consumed consistently across business applications and digital channels.
- Establish reusable integration and data access standards supporting enterprise interoperability.
AI & Analytics Enablement
- Develop the enterprise data foundation required to support AI, machine learning, advanced analytics, and future intelligent automation initiatives.
- Define enterprise approaches to data discoverability, lineage, quality, and governance necessary for AI readiness.
- Partner with business teams to identify opportunities for data-driven decision making and operational optimization.
- Establish trusted datasets and data products that enable scalable AI and analytics capabilities.
Architecture Leadership
- Lead enterprise data architecture reviews, assessments, and modernization initiatives.
- Influence technology selection, vendor evaluations, and strategic investment decisions.
- Collaborate with Enterprise Architecture leadership to align data strategy with overall technology strategy.
- Mentor architects, engineers, analysts, and delivery teams on enterprise data architecture best practices.
- Document architecture decisions, standards, patterns, and target-state roadmaps.
- Provide executive-level recommendations and business cases supporting enterprise transformation initiatives.
Operational Excellence
- Promote DataOps, observability, automation, platform reliability, and operational best practices.
- Partner with engineering and operations teams to ensure solutions are supportable, measurable, and scalable in production.
- Drive continuous improvement in platform performance, reliability, maintainability, and cost optimization.
Other
- Other duties as assigned.
Qualifications
Required Experience
- 10+ years in Data Architecture, Platform Architecture, Cloud Architecture, or related roles.
- Experience designing and implementing enterprise-scale data platforms.
- Experience leading cloud data modernization and migration initiatives.
- Experience consolidating multiple data platforms into a unified architecture.
- Strong understanding of data governance, master data management, metadata management, and data quality frameworks.
- Experience supporting enterprise analytics and reporting platforms.
- Experience partnering with executive leadership and business stakeholders.
Preferred Technical Experience
- PostgreSQL
- Redis
- Oracle
- Teradata
- SQL Server
- SAP data integration
- Salesforce data integration
- API-based integrations
- Event-driven architectures
- Streaming technologies
- Data lake / lakehouse architectures
- Cloud platforms (OCI preferred, Azure/AWS/GCP beneficial)
- Data observability and monitoring platforms
Benefits
- Market competitive compensation
- 401(k) and Roth with company match. Immediate 100% vesting
- Comprehensive benefits including medical, dental and vision
- Company paid short term disability and employer subsidized long term disability
- Company paid life insurance
- Discounted tire purchasing
- Tuition reimbursement
- Employee assistance program
- Generous paid vacation and paid time off
- Customizable voluntary benefits
- and More!!!
Company Overview
For more than 70 years, TBC Corporation has been a leader in the mobility industry and one of North America’s largest marketers and distributors of automotive replacement tires through wholesale operations. Additionally, TBC responds to the needs of consumers in search of total car care at nearly 470 franchised tire and automotive service centers under the award-winning Big O Tires® brand. TBC is headquartered in Palm Beach Gardens, Florida.
With $5 billion in revenue and more than 3,000 employees in the U.S. and Mexico, TBC markets on a wholesale basis to regional tire chains and distributors serving independent tire dealers and with proprietary brands of tires specializing in passenger, commercial, farm and specialty tires. In 2005, TBC Corp. was purchased by Sumitomo Corporation of America (SCOA). SCOA is the largest subsidiary of Sumitomo Corporation, one of Japan’s major integrated trading and investment business enterprises. In 2018, Michelin, the largest tire manufacturer in Europe, invested in the company which is now a 50:50, privately held joint venture between Sumitomo and Michelin.
Our values are the foundation of our work, how we interact with each other, and the strategies we employ to fulfill our purpose. These are the practices we use every day – in everything we do:
- Integrity - We act honestly because nothing is more important than our reputation.
- Teamwork - We are better together.
- People-Focused - We put people first – our Associates, customers, franchisees, and partners – and cultivate a respectful, collaborative, and inclusive culture, top to bottom, inside and out.
- Accountability - We own our actions and decisions; we do what we say we are going to do.
- Leave Everything Better - We innovate to improve everything we touch, and we take actions now to protect the future.
Description
The Cloud & Data Architect is responsible for defining and executing TBC's enterprise data architecture and Unified Data Platform (UDP) strategy. This role provides leadership across data, cloud, integration, analytics, and AI-enablement initiatives, establishing a scalable, governed, and future-ready data foundation for the enterprise.
The Cloud & Data Architect will lead the modernization and simplification of TBC's data ecosystem by consolidating disparate platforms, establishing enterprise data standards, defining target-state architectures, and guiding migration from legacy technologies to a unified cloud-based data platform. The role partners closely with business stakeholders, delivery teams, Enterprise Architecture, Data Governance, Infrastructure, and application teams to ensure enterprise data is trusted, accessible, secure, and aligned with business objectives.
This position serves as the enterprise authority for data architecture, data platform strategy, data modernization, and AI readiness while promoting simplification, standardization, operational excellence, and technology reuse across the organization.
Responsibilities
Enterprise Data Strategy & Architecture
- Own and evolve TBC's enterprise data architecture strategy and target-state data roadmap.
- Define and implement the Unified Data Platform (UDP) architecture that establishes governed, reusable, and real-time data assets supporting enterprise analytics, operational intelligence, enterprise services, APIs, and digital commerce experiences.
- Establish enterprise data standards, canonical data models, reference architectures, and architecture principles.
- Develop long-term strategies to simplify and modernize TBC's data landscape.
Data Platform Modernization
- Lead consolidation of disparate data platforms, warehouses, marts, and reporting repositories into a simplified enterprise data platform.
- Drive migration strategies from legacy technologies including Teradata, SQL Server, and other existing platforms to target-state cloud-based architectures.
- Design modern data lake, lakehouse, warehouse, and real-time data processing architectures where appropriate.
- Identify opportunities to eliminate redundant data pipelines, platforms, integrations, and tools.
Data Governance & Quality
- Partner with Data Governance teams to establish enterprise data ownership, stewardship, quality standards, and business definitions.
- Define enterprise data domains, metadata standards, lifecycle management, and master data strategies.
- Support development of trusted and governed enterprise data assets.
- Ensure data solutions meet security, compliance, privacy, and regulatory requirements.
Cloud & Platform Architecture
- Define scalable cloud-native data platform architectures.
- Partner with infrastructure and platform teams to establish resilient, secure, observable, and cost-effective cloud data services.
- Design high-availability, disaster recovery, backup, and operational support strategies for enterprise data platforms.
- Evaluate and optimize platform utilization, performance, scalability, and operational cost.
Integration & Data Consumption
- Define patterns for application, API, event-driven, and service-based data consumption.
- Collaborate with application and solution architects to ensure enterprise data can be consumed consistently across business applications and digital channels.
- Establish reusable integration and data access standards supporting enterprise interoperability.
AI & Analytics Enablement
- Develop the enterprise data foundation required to support AI, machine learning, advanced analytics, and future intelligent automation initiatives.
- Define enterprise approaches to data discoverability, lineage, quality, and governance necessary for AI readiness.
- Partner with business teams to identify opportunities for data-driven decision making and operational optimization.
- Establish trusted datasets and data products that enable scalable AI and analytics capabilities.
Architecture Leadership
- Lead enterprise data architecture reviews, assessments, and modernization initiatives.
- Influence technology selection, vendor evaluations, and strategic investment decisions.
- Collaborate with Enterprise Architecture leadership to align data strategy with overall technology strategy.
- Mentor architects, engineers, analysts, and delivery teams on enterprise data architecture best practices.
- Document architecture decisions, standards, patterns, and target-state roadmaps.
- Provide executive-level recommendations and business cases supporting enterprise transformation initiatives.
Operational Excellence
- Promote DataOps, observability, automation, platform reliability, and operational best practices.
- Partner with engineering and operations teams to ensure solutions are supportable, measurable, and scalable in production.
- Drive continuous improvement in platform performance, reliability, maintainability, and cost optimization.
Other
- Other duties as assigned.
Qualifications
Required Experience
- 10+ years in Data Architecture, Platform Architecture, Cloud Architecture, or related roles.
- Experience designing and implementing enterprise-scale data platforms.
- Experience leading cloud data modernization and migration initiatives.
- Experience consolidating multiple data platforms into a unified architecture.
- Strong understanding of data governance, master data management, metadata management, and data quality frameworks.
- Experience supporting enterprise analytics and reporting platforms.
- Experience partnering with executive leadership and business stakeholders.
Preferred Technical Experience
- PostgreSQL
- Redis
- Oracle
- Teradata
- SQL Server
- SAP data integration
- Salesforce data integration
- API-based integrations
- Event-driven architectures
- Streaming technologies
- Data lake / lakehouse architectures
- Cloud platforms (OCI preferred, Azure/AWS/GCP beneficial)
- Data observability and monitoring platforms
Benefits
- Market competitive compensation
- 401(k) and Roth with company match. Immediate 100% vesting
- Comprehensive benefits including medical, dental and vision
- Company paid short term disability and employer subsidized long term disability
- Company paid life insurance
- Discounted tire purchasing
- Tuition reimbursement
- Employee assistance program
- Generous paid vacation and paid time off
- Customizable voluntary benefits
- and More!!!
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Senior Level Cloud Data Engineer Jobs: Frequently Asked Questions
How do I get a senior level cloud data engineer job?
Employers at this level look for engineers who have owned end-to-end data platform decisions, not just contributed to them. Strong candidates demonstrate experience designing scalable pipelines on major cloud platforms, leading migrations or architectural overhauls, and mentoring junior engineers. Hands-on depth with orchestration tools, data modeling, and cost optimization, paired with a history of driving measurable outcomes, sets candidates apart from mid-level applicants.
Which companies hire senior level cloud data engineers?
Companies hiring senior level cloud data engineers right now include Ketjen, Mizuho, and Rippling, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers large enterprises building out centralized data platforms and high-growth organizations scaling their analytics infrastructure to support business-critical decisions.
Are there remote senior level cloud data engineer jobs?
Yes, remote availability is strong at this level. About 50% of senior level cloud data engineer openings are remote or hybrid as of November 2026, reflecting how cloud-native work naturally accommodates distributed teams. Senior engineers with deep platform expertise are in enough demand that many employers extend flexible arrangements to attract and retain them.
What makes a cloud data engineer role senior level?
Senior level cloud data engineer roles are defined by ownership and scope. Engineers at this level architect solutions rather than implement specifications, make platform and tooling decisions with long-term implications, and are accountable for reliability and performance at scale. They also mentor and guide junior and mid-level engineers, contribute to technical roadmaps, and collaborate directly with data science, analytics, and product stakeholders to shape how data flows across the organization.
Which industries hire the most senior level cloud data engineers?
Senior level cloud data engineer roles concentrate in Technology & Software, Investment & Asset Management, and Automotive, based on current listings on Migrate Mate as of November 2026. These sectors generate the data volume, compliance requirements, and infrastructure complexity that make experienced cloud data engineering expertise a core business need rather than a supporting function.