Staff Engineer (Solutions Architect)

Description

• Design and implement scalable, cloud-native solutions with a strong emphasis on leveraging Databricks for advanced analytics, data engineering, and machine learning workflows. You will play a key role in enabling data-driven decision-making across the business.
• Champion modular design and integration strategies.
• Drive adoption of DevOps, CI/CD, and infrastructure-as-code across teams.
• Evaluate emerging technologies and guide their adoption where appropriate.
• Provide hands-on guidance and support in implementing architectural patterns and best practices.
• Work within highly cross-functional teams, adapting to diverse technical domains and business needs. You’ll collaborate with product managers, data scientists, platform engineers, and software developers to deliver integrated solutions that span cloud infrastructure, data pipelines, and application layers.
• Conduct technical reviews and ensure alignment with security, compliance, and performance standards.
• Define and communicate architectural vision and strategy across multiple engineering teams.

Requirements

• Demonstrated commitment to continuous learning and technical excellence.
• Experience working with data analytics platforms would be advantageous.
• Relevant cloud or architecture certifications (e.g., Azure Solutions Architect Expert).
• Understanding of enterprise integration patterns and API management.
• Deep understanding of cloud architecture (Azure preferred), data analytics, and distributed systems.
• Ability to mentor engineers and influence technical direction across cross-functional teams.
• Excellent communication and stakeholder engagement abilities.
• Experience working in cross-functional teams and influencing at multiple levels.
• Strong system design and documentation skills.
• Proficiency in one or more programming languages (ideally including Python or Node/Typescript).
• Hands-on experience with Databricks, including Delta Lake, notebooks, and MLflow, is highly desirable.
• Deep familiarity with data architecture concepts including lakehouse, OLTP/OLAP, and real-time processing.
• Data-driven approach to architectural decision making.
• Strong grasp of software design principles, including domain-driven design and event-driven architecture.
• Comfortable working in dynamic environments with shifting priorities and cross-disciplinary teams.
• 8+ years in software or data engineering, with at least 3 years in architectural or technical leadership roles.
• Proven experience designing and delivering complex cloud-native, data-driven solutions.
• Knowledge of security, identity, and compliance in cloud environments.
• Exposure to both batch and streaming data systems, and integration with analytics or ML workflows (preferably using Databricks).

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance