Engineering Manager, Data Transformation & Platform Engineering

Together we make breakthroughs possible.

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You'll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.

Why join OCLC?

OCLC is consistently recognized as a best place to work by several independent programs We recognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions-performance, experience, and skills-along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.

We know the best ideas don't always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We're committed to your success-both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.

Free use of our on-site fitness center, gym sports, group exercise classes, and game room

Onsite catering and cafeteria subsidized by OCLC

Health and wellness events

Work environments with individual and team spaces and the latest technology tools

Paid parental leave and adoption assistance

Tuition reimbursement and Public Service Loan Forgiveness eligibility

Company-subsidized pricing on local tickets and memberships

Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.

The Job Details are as follows:

*Engineering Manager, Data Transformation & Platform Engineering*

Join us as we build the future of data at scale. We're looking for a hands-on technical leader to guide our Data Quality Engineering team in designing cloud-native platforms, distributed pipelines, and scalable microservices that power mission-critical applications like WorldCat.

In this role, you'll shape technical strategy, drive DevOps best practices, and partner across teams to deliver high-impact solutions. You'll also mentor engineers, foster a culture of innovation, and ensure our platforms remain resilient, modern, and world-class.

Key Responsibilities

Technical Leadership & Architecture

Lead the design and implementation of microservices and cloud-based data platforms to transform, match, and load data into production systems like WorldCat.

Architect scalable, distributed data pipelines to ensure high-quality transformation, reconciliation, and delivery of structured and unstructured data.

Design and implement RESTful APIs and event-driven services for real-time data processing, observability, and fault remediation.

Drive adoption of DevOps best practices, including CI/CD pipelines, containerization (Docker, Kubernetes), infrastructure-as-code, and automated testing.

Define technical roadmaps in collaboration with product and architecture teams to ensure alignment with long-term business objectives. Team Management & Collaboration

Collaborate cross-functionally with product, architecture, and infrastructure teams to align on priorities and deliver business value.

Facilitate Agile/Scrum practices including sprint planning, backlog grooming, and story estimation; serve as Scrum Master or Agile facilitator where needed.

Balance competing demands of technical debt and new feature development to maintain long-term platform health and innovation.

Partner with architects and senior engineers to guide the team's design, implementation, and modernization efforts.

Oversee production support operations, team response to critical system issues, and continuous improvement of incident response practices. Mentorship, Culture & Growth

Provide mentorship and coaching for engineers focused on leadership, communication, and technical excellence.

Foster a culture of continuous learning, cross-training, and knowledge sharing to build a resilient, well-rounded engineering team.

Promote engineering excellence through modern SDLC practices, peer code reviews, and proactive process improvement. Required Qualifications:

Bachelor's degree in Computer Science, Software Engineering, or related field.

8+ years of hands-on software engineering experience in distributed systems, cloud infrastructure, or data transformation.

5+ years of technical team leadership, including mentoring engineers and leading cross-functional projects.

Deep experience with data transformation, matching, and merging pipelines across diverse data formats.

Proven experience implementing CI/CD pipelines, infrastructure as code, containerization (Docker, Kubernetes).

Advanced knowledge of NoSQL databases, big data ecosystems (Hadoop, HDFS, MapReduce, Spark), and data lake architecture.

Strong programming skills in Java, Python.

Experience working with real-time event-driven systems and RESTful API design.

Familiarity with observability tools (Prometheus, Grafana, etc.) to monitor pipeline performance and reliability.

Familiarity with Agile/Scrum methodologies, with ability to serve as Scrum Master or Agile facilitator.

Strong cross-functional communication skills and experience managing production operations and incident response.

Understanding of data governance, privacy, and regulatory compliance requirements in large-scale data systems.

Experience integrating AI/ML or LLM technologies into production workflows is a plus. Desired Qualifications:

Master's degree in Computer Science, Software Engineering, or a related field

Experience building event-driven architectures and real-time streaming platforms

Background in machine learning, data science, or AI system development

Familiarity with infrastructure automation tools (e.g., Control-M, Ansible)

Experience with observability tools like Prometheus, Grafana, or similar platforms

Understanding of security best practices for distributed and data-intensive systems

Working Conditions: Normal office environment.

ADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

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