Data Solutions Architect

Textron • Fort Worth, TX

1d

About The Position

Bring your skills and experience as a Data Solutions Architect to lead the design and delivery of enterprise-scale solutions that enable advanced analytics, AI-driven capabilities, and seamless integration across Bell’s technology ecosystem. This role is critical to Bell’s digital transformation—modernizing legacy systems, enabling AI-ready data ecosystems, and fostering architectural excellence. You will own the vision and backlog for key data products while driving technical architecture and execution across teams.

Requirements

• Bachelor's Degree in Computer Science, Management Information Systems, or other similar discipline is required.
• 10+ years experience in Information Technology (IT) and/or other IT related role.
• Expertise in software architecture, API design, and cloud-native platforms (Azure preferred).
• Strong knowledge of data engineering, data integration, and modern data architectures (Data Lakehouse, Databricks).
• Skilled in Product Ownership, including backlog management, feature prioritization, and stakeholder alignment.
• Ability to remove blockers and drive progress across multiple teams in a fast-paced environment.
• Hands-on experience with CI/CD pipelines, PowerShell/Python automation, and governance frameworks.
• Familiarity with Kanban workflows and iterative delivery models.
• Excellent communication and stakeholder management skills.

Responsibilities

• Serve as Product Owner for the Enterprise Data Platform, defining vision, prioritizing features, and managing backlog to deliver business-critical capabilities.
• Align roadmap and architecture decisions with Bell’s data strategy, ensuring scalability, governance, and AI enablement.
• Architect and optimize API layers, Data Lakehouse and integration patterns for secure, governed, and high-performance access to enterprise data and services.
• Provide technical leadership across teams, guiding design reviews and ensuring adherence to enterprise standards.
• Collaborate with engineering and vendor teams to unblock technical challenges, resolve dependencies, and maintain delivery velocity.
• Champion CI/CD adoption and automation for data pipelines and release processes to accelerate delivery and reduce risk.
• Mentor engineers in Python, Spark, Databricks, and event-driven orchestration to upskill the team for modern data engineering practices.
• Influence enterprise architecture strategy, including system modeling using tools like CAMEO to document architecture, data flows, and interfaces.
• Communicate architecture decisions and technical strategy through clear documentation, design reviews, and stakeholder engagement.

Benefits

• You’ll be off every other Friday with our 9/80 work schedule
• 80 hours of Personal Time Off (PTO)
• 120 hours Vacation time
• 12-13 paid holidays per year
• 6 weeks parental leave
• Tuition reimbursement
• Competitive salary
• Comprehensive health insurance
• On-site clinic, pharmacy, physical therapy, and licensed counselor
• Access to more than 11 Employee Resource Groups
• And so much more

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level