Director of Data Engineering (Keying & Linking)

Calling all innovators - find your future at Fiserv.

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Director of Data Engineering (Keying & Linking)

What does a successful Director of Data Engineering (Keying & Linking) do?
You will build and take ownership of the design and development of data engineering projects and lead large-scale data engineering project to key & link internal and external data sources using PII, PCI and account information. You will define data quality metrics, automate, and monitor the changes in the KNL repository and work with key stakeholders to ensure that project deliveries are aligned with the expected business outcomes and mitigate any business and technical risk.

 

What you will do:

• Lead a team of data engineers to design, develop, and maintain scalable data pipelines/infrastructure
• Hands on development in Java/Python to ingest, manage and monitor PII/PCI data with keen eye to automate the workflow
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions and keep track of deliverables
• Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and development
• Ensure adherence to industry best practices, coding standards, and software development methodologies to deliver high-quality and scalable software solutions
• Monitor and analyze software development metrics and key performance indicators (KPIs) to track team productivity, efficiency, and code quality

 

What you will need to have:

• 10+ years of overall IT experience
• 7+ years’ experience in a senior leadership role within software development or software    engineering using Java & Python
• 4+ years’ experience with solutions for processing large volumes of data, using data processing tools and Big Data platforms like data bricks and in software development methodologies, such as Agile, Scrum, or Kanban, and experience in CICD
• 3+ years’ experience working with Azure Cloud or other major cloud platforms, and knowledge of deploying and managing APIs in a cloud environment
• 3+ years’ experience in Keying & Linking, preferably in a large commercial credit bureau and SQL experience and strong technical expertise in software architecture, design patterns, and modern software development languages and frameworks
• 2+ years’ experience working with NO SQL databases like Yuga byte/Cassandra, REDIS
• Bachelor’s degree in data science, Computer Science, Engineering, Mathematics or an equivalent combination of education, work, and/or military experience

 

What would be great to have:

• 1+ years’ experience in Banking, Cards or Payments industry
• 1+ years’ experience working with Identity resolution, Fraud, Ad-Tech/Mar-Tech

Salary Range

$112,700.00 - $201,400.00

These pay ranges apply to employees in New Jersey, New York and California. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company’s sole discretion.

Thank you for considering employment with Fiserv.  Please:

• Apply using your legal name
• Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, r