Team Lead, Data Engineering at HighlightTA

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, AWS, Big-Data Technologies, ETL, ELT, Data Pipelines, Data Security, Agile, Scrum, Software Development, Process Improvement, Analytical Skills, Team Leadership, Communication Skills, Problem-Solving

Industry

Human Resources Services

Description

HighlightTA is the on-demand talent team for Q4 At Q4, we make an impact together, obsess over our customer, operate with integrity, and bring big ideas to life. Q4 is charting a bold new path for investor relations as the first AI-driven IR Ops Platform, providing everything an IR team needs to succeed on a single, powerful platform. The Q4 Platform enables public companies to attract, manage, and understand investors—all in one place. Over 2,600 customers, including many of the most respected brands in the world, trust Q4 to help drive premium valuations for their companies. Only Q4 offers a tech stack holistically designed to equip IR teams with data, insights, and smart workflows that power remarkable outcomes. Learn more at q4inc.com. We hire smart, curious, and talented people to push boundaries, reimagine what’s possible, and turn challenges into opportunities – all while keeping the needs of our clients at the heart of everything we do. Come grow with us! About the role Q4 is looking for a Team Lead, Data Engineering to guide one of our high-performing data teams. You’ll oversee the design and delivery of high-quality data pipelines and infrastructure, ensuring they meet customer and business requirements. You’ll mentor and develop the data engineering team, fostering strong execution, alignment, and collaboration. This leadership role demands deep technical experience and a people-centered mindset. Key Responsibilities Design, build, and maintain scalable data pipelines and supporting infrastructure. Assemble large and complex datasets that meet functional and technical business requirements. Implement process and infrastructure improvements, including automation, optimization, and redesign for scalability. Develop and maintain ETL/ELT processes using SQL, AWS, and big-data technologies. Build data and analytics tools that support insight generation, business performance metrics, and product optimization. Ensure data security, governance, and separation across systems, regions, and teams. Lead a software development team, providing coaching, mentoring, performance management, and technical direction. Guide teams in making and meeting delivery commitments while following established SDLC processes. Identify and drive improvements in the software development lifecycle and engineering practices. Ensure proper documentation, effective onboarding, and clear alignment with strategic priorities. Foster a culture of creativity, innovation, and psychological safety within the team. Key Tasks Report team performance metrics biweekly. Collaborate with product owners to provide estimates for development work. Hold and document weekly 1:1 meetings with team members. Communicate company priorities and strategic updates to the team. Support data transformation, metadata management, dependency tracking, and workload management. Undertake additional tasks as required by leadership and cross-functional partners. Experience Required Bachelor’s Degree in Computer Engineering or related field, or equivalent experience. 5+ years of data engineering experience, including 3+ years at a senior data engineering level. Strong SQL skills and experience with relational and NoSQL databases (e.g., Postgres, Cassandra). Experience with AWS services (EC2, EMR, RDS, Redshift) and big-data/stream-processing technologies. Hands-on experience building data pipelines, workflow management, and scalable data infrastructure. Strong analytical abilities, including root-cause analysis and working with unstructured datasets. Experience in leading teams, personal development planning, coaching, and performance management. Proven track record managing delivery of projects using Agile/Scrum methodologies. Experience with architecture, software design, requirements analysis, and process improvement. Excellent organizational skills, multitasking ability, and capability to work independently. Strong facilitation, communication, and influencing skills. Demonstrated problem-solving ability and desire to stay current with modern technologies. Understanding of the financial services industry and global capital markets (preferred). Why Q4? We offer a variety of benefits to ensure you can always work hard and have fun: Peace of Mind & Family – Flexible benefit plans, wellness, lifestyle and parental leave top-up if you have a growing family Wellness & Life – Flexible paid time off and benefit program, retirement plans, 30-day work-from-anywhere program, and a flexible work environment Unlock Your Potential – Learning allowance, mentorship, leadership forums, and gig programs We believe in the power of collective greatness. At Q4, we embrace diverse perspectives and experiences as the driving force behind innovation and problem-solving. We envision Q4 to reflect the global community we serve, empowering representation and opportunity at all levels. Think you have what it takes, but not sure you check every box? Apply to the role anyway—we’d love to talk. Should you require any accommodations prior to or during the interview process, please let our Recruitment team know. How We Hire We use AI tools to support our recruitment process, including helping us organize applications and identify early matches based on role criteria. That said, every rejection decision is made by a human. We encourage candidates to apply authentically and avoid relying solely on AI-generated responses, especially during interviews. This opportunity is offered through HighlightTA, the on-demand talent team supporting Q4’s growth. Connect with us and learn more! HighlightTA on LinkedIn

Responsibilities

The Team Lead, Data Engineering will oversee the design and delivery of high-quality data pipelines and infrastructure while mentoring the data engineering team. This role requires a blend of technical expertise and a focus on team development and collaboration.