Engineering Team Lead

Vizient•Irving, TX

About The Position

In this role, you will lead an engineering team responsible for designing, developing, and delivering scalable, high-quality software solutions, including the Spend Manager Intelligence Platform that enables actionable insights and data-driven decision-making. You will balance hands-on technical leadership with team leadership, ensuring strong engineering practices while fostering a collaborative, high-performing team environment. You will partner closely with Product, Architecture, and Delivery teams to align technical execution with business goals, support team development through coaching and mentorship, and drive continuous improvement across engineering practices. Additionally, you will champion the adoption of emerging technologies, including AI-driven tools, and guide the development of scalable data platforms, pipelines, and analytics capabilities using technologies such as Databricks and Spark.

Requirements

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

Nice To Haves

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

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, 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 down complex initiatives into actionable work and prioritize effectively
Identify and communicate risks, providing 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 the 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 cross-functionally with Architecture, Engineering, CloudOps, and Security teams to ensure alignment