Tech Lead (Architecture)

Job Summary

As a Tech Lead, you will be responsible for leading a team of data engineers and platform engineers, ensuring the quality and efficiency of cloud, data, and platform engineering projects. You will oversee the technical aspects of solution design, data engineering, and platform delivery, provide mentorship, and collaborate with cross‑functional teams to deliver high‑quality solutions. Your role is pivotal in driving the technical vision, ensuring best practices, and fostering a culture of continuous improvement.

Technical Leadership

• Lead the technical planning, execution, and successful delivery of cloud, data, and platform engineering projects.
• Make architectural decisions and guide the team in the development of scalable, maintainable, and robust solutions.
• Stay updated with emerging technologies and industry trends to drive innovation.

Team Management

• Provide technical mentorship and guidance to developers, fostering professional growth and development.
• Conduct code reviews to ensure adherence to best practices, coding standards, and quality.
• Facilitate team collaboration, ensuring effective communication and coordination among team members.

Project Management

• Collaborate with project managers and stakeholders to define project requirements, scope, and timelines.
• Monitor project progress, identify potential risks, and implement mitigation strategies.
• Ensure timely delivery of projects within budget and quality standards.

Technical Expertise

• Design, develop, and maintain complex platforms and applications.
• Troubleshoot and resolve technical issues, ensuring system reliability and performance.
• Optimize and refactor existing codebases to improve efficiency and maintainability.

Collaboration and Communication

• Work closely with product managers, designers, and other stakeholders to align technical solutions with business goals.
• Communicate technical concepts and solutions effectively to both technical and non‑technical stakeholders.
• Promote a collaborative and inclusive team environment.

Education

• Bachelor’s degree in computer science, engineering, or a related field. Advanced degree preferred.

Experience

• 5+ years of experience in software development or data engineering, with at least 2 years in a technical leadership or architecture role.
• Proven experience in leading and managing development teams.
• Strong background in software architecture and design patterns.

Technical Skills

• Expertise in at least one major cloud platform (AWS, Azure, or Google Cloud); multi‑cloud awareness desirable.
• Hands‑on experience with Infrastructure as Code tooling (Terraform, Ansible, CloudFormation, or equivalent).
• Hands‑on experience with Docker; familiarity with container orchestration platforms (Kubernetes or equivalent) desirable.
• Hands‑on experience with CI/CD pipeline design and implementation (Azure DevOps, GitHub Actions, or equivalent).
• Hands‑on experience with cloud data platform technologies (Databricks, Azure Synapse, Snowflake, or equivalent).
• Proficiency in Python; working knowledge of at least one additional language (Java, SQL, JavaScript/TypeScript, or equivalent).
• Experience with software architecture patterns including microservices, event‑driven architecture, and domain‑driven design.
• Familiarity with data lakehouse design patterns (medallion architecture, Delta Lake, or equivalent).
• Experience with event streaming platforms (Kafka, Azure Event Hubs, or equivalent).
• API design experience across REST, GraphQL, and/or gRPC.
• Experience with relational and non‑relational database technologies (SQL, NoSQL).
• Experience working within Agile delivery frameworks.
• Previous experience in financial services or insurance advantageous.

Soft Skills

• Excellent problem‑solving and analytical abilities.
• Strong leadership and mentoring skills.
• Effective communication and interpersonal skills.
• Comfortable leading technical discussions and presenting recommendations directly to clients.
• Ability to manage multiple priorities and work under pressure.

Preferred Qualifications

• Familiarity with data pipeline and orchestration tooling (Apache Airflow, dbt, Spark, or equivalent).
• Experience with monitoring and observability tooling (Datadog, Prometheus/Grafana, or equivalent).
• Familiarity with data governance principles including RBAC, data lineage, and cataloguing.
• Familiarity with AI agent frameworks and patterns (LangChain, LangGraph, CrewAI, or equivalent) desirable.
• Relevant cloud or architecture certifications (AWS, Azure, GCP, Databricks, or TOGAF).
• Contributions to open‑source projects or active participation in the tech community.

Working Conditions

• This position may require occasional travel.
• Hybrid work arrangement: two days per week working from the office near St. Paul’s.

#J-18808-Ljbffr…