Solution Architect (Data, AI, Analytics, Software Engineering & Digital Experience)
Summary
The Solution Architect designs and implements end‑to‑end data, AI/ML, analytics and digital experience solutions, collaborating with stakeholders and engineering teams to define architecture standards, drive cloud‑native microservices, and ensure scalable, secure, high‑performance systems.
About the Role:
We are looking for a highly skilled and versatile Solution Architect to join our growing team. In this role, you will drive end-to-end architecture across multiple domains including Data, AI, Analytics, Software Engineering, and Digital Experience. You will play a critical role in designing scalable, innovative, and business-aligned technology solutions.
Key Responsibilities:
- Design and implement end-to-end solutions across Data, AI/ML, Analytics, and Digital platforms
- Collaborate with business stakeholders, engineering teams, and leadership to translate business needs into technical solutions
- Define architecture standards, best practices, and governance frameworks
- Lead solution design discussions, technical reviews, and architecture approvals
- Ensure scalability, security, performance, and reliability of solutions
- Drive cloud adoption and modern architecture patterns (microservices, serverless, API-first, etc.)
- Provide technical leadership across software engineering and platform development teams
- Evaluate emerging technologies and recommend innovative solutions
- Work closely with delivery teams to ensure successful implementation
Preferred Qualifications:
- Certifications in cloud platforms (AWS/Azure/GCP)
- Experience working in enterprise-scale environments
- Exposure to DevOps, CI/CD practices, and containerization (Docker/Kubernetes)
- Familiarity with modern data tools (Snowflake, Databricks, etc.)
Interested Candidates may share their CVs to careers@digifloat.com
Location could be Lahore as well.
Requirements
Required Skills & Experience:
- Proven experience as a Solution Architect or similar role across multiple domains
- Strong expertise in Cloud platforms (AWS, Azure, or GCP)
- Experience in Data Architecture, Data Engineering, and Analytics platforms
- Knowledge of AI/ML solutions and frameworks
- Solid background in Software Engineering, including microservices architecture and APIs
- Experience with Digital platforms, customer experience solutions, or front-end ecosystems
- Strong understanding of system integration, security, and scalability
- Excellent stakeholder management and communication skills
Benefits
8% PFFuel Allowance
OPD
IPD
Annual Performance Based Bonus
Weekly Lunch