Senior Director- Data Engineering
Calling all innovators - find your future at Fiserv.
Job Title
Senior Director- Data Engineering
About your role:
You will be responsible for the strategy, development, and delivery of data products built on large-scale datasets. You will lead talented data engineering and development teams to create cutting-edge data solutions that address complex business challenges and deliver trusted, high-quality data to our clients. Your role will involve strategic planning, data product ownership, and ensuring the successful delivery of scalable, reliable data products.
What you'll do:
- Define and execute the strategy and roadmap for data products built on large-scale datasets to support Fiserv's business goals.
- Lead and manage teams of data engineers and developers, providing direction and guidance to ensure successful delivery of data products.
- Oversee the design, development, and implementation of scalable data pipelines, data platforms, and data products that align with Fiserv's strategic goals.
- Lead the delivery of AI-ready data products and platform capabilities that support machine learning and generative AI use cases, including feature engineering, vector search, and retrieval-augmented generation (RAG) pipelines.
- Partner with product, business, and cross-functional teams to gather requirements and translate them into data product specifications and technical solutions.
- Ensure data quality, reliability, security, and governance across data products, including meeting SLAs for client data deliveries.
- Monitor project progress, identify risks, and implement mitigation strategies to ensure timely and on-budget delivery.
- Drive performance, scalability, and cost optimization of large-scale data processing, along with engineering best practices, automation (including AI-assisted development), and release quality controls.
Experience you’ll need to have
- 10+ years of experience in data engineering, big data, or software development, including building data products on large-scale datasets.
- 4+ years of experience leading data engineering or data product teams.
- 4+ years of experience in Python, Java, or similar programming languages.
- 4+ years of hands-on experience with Apache Spark for large-scale distributed data processing.
- 4+ years of experience with SQL and data modeling for large, complex datasets; cloud data platforms and services on AWS, Azure, or GCP.
- 4+ years of experience with CI/CD pipelines, DevOps/DataOps practices and Agile methodologies.
- Bachelor's degree in data science, Computer Science, Engineering, Mathematics or an equivalent combination of education, work, and/or military experience.
Experience that would be great to have:
- Experience defining and managing data products as part of a product management or data mesh approach.
- Experience in the financial services industry.
- Experience with Databricks, including Delta Lake, Unity Catalog, and Lakehouse architecture.
- Experience enabling AI/ML and generative AI solutions on Databricks or similar platforms, such as feature stores, vector databases, or RAG pipelines
How you’ll work
- This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.
Travel
- Approximately 10% travel off-site or to other office locations is expected.
Sponsorship
Salary Range
$145,000.00 - $240,000.00
These pay ranges apply to employees in New Jersey and New York. 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
Note to agencies
Warning about fake job posts
Not included in the source posting: what you'll do, benefits.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.