Data Governance Developer

Introduction to the job:

The Data Quality and Trusted Dataset Developer will be responsible for developing and maintaining data quality solutions for transactional datasets across the organization to ensure accuracy, consistency, and trustworthiness and for developing and maintaining reliable and trusted datasets for data consumers. This role requires strong technical expertise, the ability to understand how data can impact the business, attention to detail, and the ability to collaborate effectively with cross-functional teams to implement solutions and best practices in data management.

Role and responsibilities:

Data Quality Development:

• Design, develop, and implement data quality solutions to ensure the integrity and accuracy of transactional datasets.
• Collaborate with data stewards and data owners to define and implement data quality rules and standards.
• Develop and maintain logic for data validation rules and data quality report generation to identify and rectify data quality issues in collaboration with data stewards.
• Utilize advanced knowledge of data management principles and practices, including data profiling, data cleansing, and data enrichment.
• Investigate reported issues on data quality rules logic and determine solutions.

Trusted Dataset Management:

• Develop and maintain trusted datasets that meet organizational standards for data quality and governance.
• Collaborate with data owners to define the metadata of trusted datasets.
• Monitor and report on the quality of datasets, providing insights and recommendations for improvement.
• Investigate reported data quality issues on trusted datasets and provide solutions.

Technical Implementation:

• Utilize database management, data virtualization tool, and systems analysis to support data quality and trusted dataset initiatives.
• Develop and execute test plans for data quality solutions and trusted dataset development, ensuring compliance with standards and best practices.
• Coordinate the implementation and deployment of new initiatives or changes to production environment.
• Document training materials as necessary.

Collaboration and Communication:

• Interact with cross-functional teams (managers, engineers, data analysts, IT, upper management) to build constructive and effective relationships.
• Effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
• Communicate data quality issues, risks, and recommendations to stakeholders and senior management.

Process Improvement:

• Conform to the approved Software Development Process and Program Development Process, championing process improvement.
• Continuously look for ways to improve existing processes to reduce inefficiencies and enhance data quality.

Education and experience

• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or related field. MS or PhD is a plus.
• A minimum of 5 years of experience in data quality management, data engineering, or related roles.
• Strong knowledge of data management principles and practices, including data profiling, data cleansing, and data enrichment.
• Hands-on experience with data quality tools and technologies.
• Excellent analytical and problem-solving skills, with attention to detail.
• Advanced knowledge of database management, data virtualization tool, and systems analysis and design.

Skill:

• Experience with data management tooling such as Informatica or Collibra.
• Experience with data governance frameworks and best practices.
• Knowledge of machine learning and data analytics tools and frameworks.
• Understanding of software development lifecycle processes and tools.
• Strong programming skills in languages such as SQL, Python, Denodo, or similar.
• Excellent written and verbal communication skills.
• Ability to translate, statistically analyze data, and effectively report problems through written and/or graphical formats.
• Ability to work under deadlines and handle aggressive timelines with agility and a results-driven approach.

Other information

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• While performing the duties of this job, the employee routinely is required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch.
• The employee is occasionally required to move around the campus.
• The employee may occasionally lift and/or move up to 50 pounds.
• May require travel dependent on business needs.
• Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
• Can work under deadlines.
• The environment generally is moderate in temperature and noise level.
• Must be able to wear disposable rubber gloves for entire duration of shift.
• Wearing of eye protection in manufacturing areas is required.
• Must be able to read and interpret data, information, and documents.
• Can observe and respond to people and situations and interact with others encountered in the course of work.
• Can learn and apply new information or skills.

Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members.

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.

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ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process.

Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.