Engineering Team Lead (Hybrid)

Vizient•Irving, TX

9d•Hybrid

About The Position

Lead an engineering team responsible for designing, developing, and delivering scalable, high-quality software solutions, including the Spend Manager Intelligence Platform for actionable insights and data-driven decision-making. The role combines hands-on technical leadership with team leadership, strong engineering practices, and development of a collaborative, high-performing team. Work closely with Product, Architecture, and Delivery teams to align technical execution with business goals, coach and mentor team members, and improve engineering practices. Champion emerging technologies, including AI-driven tools, and guide development of scalable data platforms, pipelines, and analytics capabilities using technologies such as Databricks and Spark. This role requires working in the Irving, Texas office three days per week and includes an in-person interview.

Requirements

At least 7 years of software development experience.
At least 2 years of experience leading or mentoring engineering teams.
Strong experience with modern software development practices, including CI/CD, testing, and application security.
Proficiency in one or more programming languages such as Java, Python, C#, or JavaScript.
Experience working with cloud platforms such as AWS, Azure, or GCP.
Experience designing scalable systems, including microservices and distributed architectures.
Strong problem-solving, analytical, and troubleshooting skills.
Experience working in Agile environments and collaborating with cross-functional teams.
Ability to communicate technical concepts to technical and non-technical stakeholders.
Experience with data engineering technologies such as Apache Spark, Databricks, and distributed data processing frameworks.
Hands-on experience building and maintaining data pipelines and large-scale data platforms.

Nice To Haves

Bachelor’s degree preferred, or equivalent experience.
Ability to mentor and develop engineers, supporting their technical and professional growth.
Passion for innovation, continuous improvement, and emerging technologies.
Familiarity with data modeling, data warehousing, and lakehouse architectures.
Experience with streaming technologies and real-time data processing.
Exposure to AI/ML workflows or data-driven applications.

Responsibilities

Lead the design, architecture, and development of scalable, high-performance software solutions.
Guide the team through complex technical challenges and ensure sound engineering decisions.
Contribute to the codebase by delivering efficient, maintainable, and secure code.
Ensure adherence to engineering best practices, including code reviews, testing, CI/CD, and application security.
Partner with Product Owners and stakeholders to understand requirements and ensure successful delivery.
Break complex initiatives into actionable work and prioritize effectively.
Identify and communicate risks and mitigation strategies to support delivery timelines.
Foster a healthy, collaborative team environment that supports engagement and productivity.
Provide ongoing coaching, mentorship, and feedback to support individual and team development.
Address team dynamics and resolve conflicts with empathy and professionalism.
Promote accountability, continuous improvement, and a strong feedback culture.
Lead team retrospectives and drive process enhancements.
Advocate for and support adoption of AI and automation tools to improve engineering efficiency.
Identify opportunities to enhance workflows through emerging technologies.
Encourage experimentation and innovation within the team.
Communicate project status, progress, and risks to Product Owners, Delivery Leads, and stakeholders.
Collaborate with Architecture, Engineering, CloudOps, and Security teams to ensure alignment.
Guide the development of scalable data platforms, pipelines, and analytics capabilities.