Technical Architect
Role details
Job location
Tech stack
Job description
We are seeking an experienced Technical Architect to lead the design and implementation of scalable, secure, and high-performance technology solutions. The ideal candidate will have a strong background in cloud architecture, data platforms, application integration, and enterprise solution design. This role will work closely with business stakeholders, engineering teams, data teams, and project managers to deliver innovative and scalable solutions aligned with business objectives., * Design and architect end-to-end enterprise solutions across cloud, data, and application platforms.
- Define technical architecture standards, best practices, and governance frameworks.
- Collaborate with business and technical stakeholders to gather requirements and translate them into scalable technical solutions.
- Lead architecture reviews and provide technical guidance to development and engineering teams.
- Design and implement cloud-based architectures using AWS, Azure, or GCP.
- Architect modern data platforms, data lakes, and data warehousing solutions.
- Ensure system scalability, security, performance, and reliability.
- Evaluate emerging technologies and recommend improvements to existing systems.
- Support DevOps, CI/CD, and infrastructure automation initiatives.
- Mentor development teams and provide technical leadership throughout the project lifecycle.
Requirements
Do you have experience in Tooling?, * 6+ years of experience in Technical Architecture, Solution Architecture, or Software Engineering.
- Strong experience in designing enterprise-level applications and distributed systems.
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
- Strong understanding of Microservices Architecture, APIs, and Integration Patterns.
- Experience with Data Engineering, Data Warehousing, Data Lakes, and Analytics platforms.
- Strong proficiency in SQL, Python, Java, or .NET technologies.
- Experience with DevOps tools, CI/CD pipelines, Docker, and Kubernetes.
- Knowledge of security, compliance, and enterprise architecture best practices.
- Excellent communication, stakeholder management, and problem-solving skills.
Preferred Skills
- Experience with Databricks, Snowflake, Synapse, Redshift, or BigQuery.
- Experience designing AI/ML and Analytics platforms.
- Exposure to Enterprise Architecture frameworks such as TOGAF.
- Experience with Agile and Scrum methodologies.
Certification:
- Databricks Certified Data Engineer Associate/Professional
Benefits & conditions
Pulled from the full job description
- Health insurance
- Paid time off
- Vision insurance
- Dental insurance, * Dental insurance
- Health insurance
- Paid time off
- Training & development
- Vision insurance