Data Integration Tech Lead
We are looking for a proactive Data Integration Tech Lead to lead and collaborate with a strong, high-performing team of engineers. The role involves owning integration strategy, leading complex data pipeline development, and guiding engineers while ensuring scalable, secure, and high-quality solutions. We seek an active team player with strong leadership skills, deep expertise in integrations, and the ability to align technical solutions with business needs.
We use AI to accelerate engineering work, automate repetitive tasks, improve decision-making, and increase delivery quality.
We view AI as an engineering multiplier, not just a coding assistant. Our team continuously develops reusable AI-powered tools, agents, and workflows that improve engineering efficiency and reduce repetitive work. Engineers are encouraged to experiment, challenge existing processes, and help shape how AI is adopted across the organization.
Our client is a leading provider of software and technology solutions for higher education. From student information systems and enrollment management to finance, HR, and analytics, their products empower universities and colleges to operate more efficiently and deliver a better experience for students.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or related field
- 7+ years of experience in integration development, backend/API engineering, or data engineering roles
- 2+ years in a lead or senior capacity, with proven ability to guide engineers and project
Integration & Data Engineering Skills
- Experience building and optimizing data pipelines for both real-time and batch processes
- Deep SQL and PL/SQL knowledge (Oracle, PostgreSQL)
- Understanding of stored procedures, views, DB packages, and performance tuning
- Familiarity with API testing and debugging tools (Postman, curl, Bruno)
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Experience migrating on-prem integrations to SaaS/cloud platforms
Leadership & Communication
- Demonstrated ability to mentor engineers, conduct code/design reviews, and set technical direction
- Strong communication and presentation skills; able to interact with business stakeholders and technical teams
- Experience leading cross-functional integration initiatives
AI-Driven Engineering
- Experience using modern LLMs and AI assistants as an integral part of software engineering work
- Experience designing, building, or using AI agents and automated workflows to solve engineering problems
- Ability to integrate AI into software engineering processes, including system analysis, solution design, development, testing, and technical documentation
- Ability to critically evaluate AI-generated outputs, validate their correctness, and maintain full ownership of technical decisions and solution quality
Will be a Plus
- Expertise in iPaaS or ETL platforms (Boomi, Talend, SnapLogic, NiFi, Azure Data Factory, etc.)
- Understanding of GraphQL and modern API access patterns
- Familiarity with BI/reporting tools (Cognos, Argos, Tableau, Metabase)
- Proficiency in one or more languages: JavaScript (Node.js), Python, Java
Responsibilities
- Own the integration strategy and architecture for enterprise data flows and APIs
- Lead design, development, and optimization of complex data integration pipelines
- Define and enforce standards for API usage, data mappings, error handling, and performance
- Evaluate new technologies and recommend adoption where appropriate
- Ensure integrations are scalable, secure, and compliant with enterprise requirements
- Lead and mentor a team of integration engineers, providing technical guidance and career development
- Conduct design and code reviews, ensuring high-quality deliverables
- Champion best practices in integration, testing, and DevOps
- Coordinate workload distribution and ensure alignment with project milestones
- Work closely with software engineers, architects, business analysts, and external vendors
- Translate business requirements into technical solutions and present integration designs to stakeholders
- Act as primary escalation point for integration-related issues
- Document integration architectures, workflows, and governance frameworks for transparency and knowledge sharing