Technical Lead Job Specification

This job specification highlights the core activities and skills essential for Technical Leads (TLs) working with the Quantexa Platform.

For Technical Leads working with the Quantexa Platform, the tools, responsibilities, and expertise recommended to meet industry standards are outlined.

For Hiring Managers, it serves as a framework for defining role requirements when recruiting candidates with Quantexa experience.

Important Note: These guidelines are for reference only, and companies may have additional or specific expectations for roles.

Equivalent Roles:

• Staff/Principal Engineer
• Technical Manager

Day-to-Day Activities

• Leading and mentoring a team of junior data engineers within an agile framework.
• Writing efficient, fault-tolerant, production-level code for your deployment.
• Collaborating with Solution Architects to champion solutions and standards for complex big data challenges.
• Ensuring best practices are followed within the team.
• Advising colleagues on technical concepts and translating them into actionable insights for decision-making.
• Supporting development and operations by ensuring high-quality, operationally stable systems.

Recommended Quantexa Skills & Experience

• Proven experience helping to implement multiple Quantexa projects, with a strong understanding of Quantexa architecture and components.
• Experience leading a standard team through a full Quantexa project lifecycle, including upgrades.
• Familiar with all Quantexa components and can design solutions optimally using the latest Quantexa features.
• Familiar with the tuning methodologies for ER, ETL performance, task loading.

Recommended Technical Skills

• Proficiency in programming languages, particularly Scala, Java, Python, or similar.
• Experience with modern development tools and processes (e.g., Git, Gradle, Nexus) and automation/DevOps technologies (e.g., Jenkins, Docker, Bash scripting).
• Knowledge of cloud platforms (Google Cloud, Azure, AWS) and big data technologies (Spark, Hadoop, Elasticsearch).
• Experience in building and deploying production-level data processing systems with a focus on operational stability.
• Understanding of testing frameworks and the ability to write unit and integration tests using libraries like ScalaTest.
• Expertise in designing scalable big data solutions and production-level data processing systems.
• Strong hands-on coding ability with a focus on fault-tolerant, efficient, and defensive programming.
• Proficient in setting up development workflows and managing complex technical initiatives.
• Familiarity with Agile practices, project management tools, and software lifecycle processes.

Recommended Soft Skills

• Ability to lead, mentor, and support junior engineers and team members in a technical environment.
• Strong technical communication skills, especially for explaining complex technical concepts to non-technical stakeholders.
• Ability to work effectively with cross-functional teams.
• Capable of making decisions that improve the operational stability and efficiency of data systems.
• Clear and confident communicator, able to translate technical concepts for non-technical stakeholders.
• Significant cross-domain problem-solving experience and a demonstrated ability to navigate ambiguity.
• Skilled in growing junior team members through mentoring, feedback, and guidance.
• Strong problem-solving ability across domains, with a proactive approach to risk mitigation.
• Effective at managing competing priorities and navigating ambiguity.

Recommended Leadership & Collaboration Skills

• Leads by example, fostering a collaborative and goal-oriented team environment.
• Sets clear expectations, makes informed decisions, and communicates transparently.
• Engages with stakeholders to align technical work with business value.
• Trusted advisor, with a focus on shared success.

Read more about Technical Leads: Technical Lead