Hybrid Senior Technical Manager, Data Quality Engineering bei OCLC
OCLC · Dublin, Ohio, US, Vereinigte Staaten Von Amerika · Hybrid
- Senior
- Optionales Büro in Dublin, Ohio, US
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:
Key Responsibilities
- Lead the design and implementation of microservices that ensure data quality and integrity across large-scale systems
- Define and drive technical roadmaps and architectural patterns, applying best practices in software engineering to data validation pipelines
- Establish governance frameworks, CI/CD pipelines, and code quality standards to enhance team efficiency and long-term maintainability
- Architect and deliver distributed data validation services using containerization and orchestration technologies
- Design RESTful APIs and event-driven systems for real-time monitoring and remediation of data quality issues
- Implement observability and metrics solutions to monitor quality, performance, and reliability of data pipelines
- Lead strategic technical decision-making, including build vs. buy analysis and technology selection
- Mentor and grow engineering talent through code reviews, architectural discussions, and hands-on technical leadership
- Guide the adoption of modern engineering practices including test-driven development, continuous integration, and DevOps methodologies
- Provide technical leadership and direction for modernization initiatives across the team
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field
- 8+ years of software engineering experience with increasing leadership responsibilities
- 5+ years of technical team leadership, including mentoring senior developers and architects
- Expertise in designing and deploying microservices and distributed systems
- Strong experience with cloud platforms and containerization technologies (e.g., Docker, Kubernetes)
- Deep knowledge of data engineering, ETL processes, and data validation best practices
- Proven experience implementing DevOps pipelines (CI/CD, infrastructure as code, automated testing)
- Advanced knowledge of NoSQL databases and big data ecosystems (e.g., Hadoop, MapReduce, Spark)
- Proficiency in one or more modern programming languages (Java, Python, Go, etc.)
- Experience integrating Generative AI and Large Language Models into production systems
- Strong understanding of system scalability, performance optimization, and software design patterns
- Excellent communication skills with the ability to translate technical concepts for varied audiences
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.
#LI-DS1
Jetzt bewerben
