Skip to content

Technical Director - Technology

Electricmind
Downtown TorontohybridJan 22, 2026·Posted 2 months ago
View Application Page

Domain

Tech Stack

KafkaSparkKinesis

Must-Have Requirements

  • Extensive experience in senior technical leadership roles
  • Demonstrated expertise designing and delivering complex distributed systems and enterprise platforms
  • Deep experience with cloud-native architectures
  • Strong computer science fundamentals and hands-on experience with modern engineering frameworks
  • Expertise in data-intensive systems (Kafka, Spark, Kinesis, etc.)
  • Exceptional communication and executive influence skills
  • Bachelor's or Master's degree in Computer Science, Engineering, or related discipline

Description

At Electric Mind, Engineering is where strategy meets action. Our team helps organizations cut through complexity—aligning business ambition with technology execution to unlock real, lasting change. You’ll work alongside curious, driven people tackling high-impact challenges for everyone from scaling startups to global enterprises. Each engagement is different, pushing you to learn, adapt, and grow.

Electric Mind’s Technology Practice brings together deep engineering expertise, modern delivery disciplines, and pragmatic architectural thinking to help clients execute complex, mission-critical transformation. We design and implement scalable, secure, high-impact technology solutions that accelerate business outcomes.

Electric Mind’s Technology Practice brings together deep engineering expertise, modern delivery disciplines, and pragmatic architectural thinking to help clients execute complex, mission-critical transformation. We design and implement scalable, secure, high-impact technology solutions that accelerate business outcomes.

Role Summary

As a Technical Director, you will provide strategic technology leadership, architectural direction, and hands-on depth to guide clients through modern transformation journeys. You will partner with C-suite leaders to shape technology strategies, define future-state architectures, and oversee the delivery of enterprise-scale initiatives. You will also play a critical role in strengthening Electric Mind’s technical capability, mentoring talent, and contributing to practice and organizational growth.

Key Responsibilities

Strategic Leadership & Advisory Provide strategic technical leadership across complex engagements, ensuring alignment with business priorities. Partner with senior executives to define technology strategy, target architectures, and transformation roadmaps. Act as a trusted advisor through pre-sales, strategic planning, and executive forums. Architecture & Solution Design Lead architectural direction across cloud, data, integration, application, and platform domains. Guide solution design for scalable, resilient, and secure enterprise systems. Identify gaps across technology, people, and processes and provide objective, pragmatic recommendations. Ensure technology strategies are clearly articulated and actionable. Transformation & Delivery Leadership Oversee large-scale transformation programs, providing governance, coaching, and technical leadership. Champion engineering excellence through DevOps, automation, modular architectures, and cloud-native patterns. Collaborate with delivery teams to scope work, size effort, manage dependencies, and mitigate risks. Mentorship, Capability Building & Thought Leadership Mentor architects, technical leads, and engineers to elevate technical maturity. Promote a culture of curiosity, innovation, and high-performance engineering. Represent Electric Mind through thought leadership and industry engagement. Practice Growth Develop reusable assets and strengthen delivery frameworks. Support business development through shaping opportunities, defining solutions, and presenting to executives.

Qualifications & Experience Extensive experience in senior technical leadership roles. Demonstrated expertise designing and delivering complex distributed systems and enterprise platforms. Deep experience with cloud-native architectures Strong computer science fundamentals and hands-on experience with modern engineering frameworks. Expertise in data-intensive systems (Kafka, Spark, Kinesis, etc.). Exceptional communication and executive influence skills. Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline.