About this role
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 roleQ4 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 ResponsibilitiesDesign, 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 TasksReport 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 RequiredBachelor’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 HireWe 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 posting is for a current, open position within Q4.
This opportunity is offered through HighlightTA, the on-demand talent team supporting Q4’s growth.
Connect with us and learn more! HighlightTA on LinkedIn