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.