Equifax - Technical Project Manager - Data Products

About the job: What you'll do: - Project Leadership: Lead the design, development, and deployment of batch and data products, ensuring alignment with business goals and technical requirements. - Technical Oversight: Provide technical direction and oversee the implementation of solutions using Java and GCP, ensuring best practices in coding, performance, and security. - Team Management: Mentor and guide a team of developers and engineers, fostering a collaborative and high performance environment. - Stakeholder Collaboration: Work closely with cross functional teams including product managers, business analysts, and other stakeholders to gather requirements and translate them into technical solutions. - Quality Assurance: Implement rigorous testing strategies to ensure the reliability and accuracy of data products. - Performance Optimization: Monitor and optimize the performance of batch processes and data solutions, identifying and resolving any bottlenecks or issues. - Documentation and Compliance: Maintain comprehensive documentation for all technical processes, ensuring compliance with internal and external standards. - Continuous Improvement: Advocate for and implement continuous improvement practices within the team, staying abreast of emerging technologies and methodologies. What experience you need: - Education: Bachelor's degree in Computer Science, Information Technology, or a related field. - Experience: Minimum of 10 years of experience in relevant software development technologies, with a focus on batch processing and data solutions. - Technical Skills: Proficiency in Java or Angular and other frontend Technologies, with a strong understanding of its ecosystems and should be capable of doing hands-on development activities. - Minimum 5 years of experience in Design patterns, OOAD. - Minimum 5 years of experience Java, Sprint, Spring Boot, REST, Microservices, Hibernate, JPA, RDBMS. - Minimum 5 years of experience Git, CI/CD Pipelines, Jenkins. - Experience with Google Cloud Platform, including BigQuery, Cloud Storage, Dataflow, Big Table and other GCP tools. - Strong knowledge with ETL processes, data modeling, and SQL. - Excellent leadership and team management skills. - Strong problem solving abilities and a proactive approach to project management. - Effective communication and interpersonal skills, with the ability to convey technical concepts to nontechnical stakeholders. - Mentorship & Coaching: Identifying individual strengths and skill gaps to provide tailored career guidance. - Career Pathing: Helping engineers navigate their trajectory, whether they want to remain individual contributors (ICs) or move into leadership. - Performance Management: Conducting regular 1:1s, delivering constructive feedback, and managing annual performance reviews. - Resource Allocation: Balancing technical debt with new feature development to ensure the team isn't overwhelmed by firefighting. - Conflict Resolution: Mediating technical disagreements (e.g., architectural disputes) and interpersonal friction before they impact productivity. - Shielding the Team: Acting as a buffer against scope creep and unnecessary administrative distractions from upper management. What could set you apart: - Certification in Google Cloud (e.g., Professional Cloud Architect, Professional Data Engineer). - Experience with other cloud platforms (AWS, Azure) is a plus. - Understanding of data privacy regulations and compliance frameworks.