Senior Director- Data Engineering
About The Position
The Senior Director of Data Engineering is responsible for the strategy, development, and delivery of data products built on large-scale datasets. The role leads data engineering and development teams in creating data solutions that address complex business challenges and deliver trusted, high-quality data to clients. It includes strategic planning, data product ownership, and ensuring the successful delivery of scalable, reliable data products. The position is on-site Monday through Friday, with approximately 10% travel off-site or to other office locations expected. Candidates must already have valid and unrestricted U.S. work authorization; candidates who require sponsorship now or in the future will not be considered.
Requirements
- 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 with 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, and 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.
- Valid and unrestricted U.S. work authorization; sponsorship is not available now or in the future.
Nice To Haves
- 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.
Responsibilities
- Define and execute the strategy and roadmap for data products built on large-scale datasets to support Fiserv's business goals.
- Lead and manage data engineers and developers, providing direction and guidance to support successful delivery of data products.
- Oversee the design, development, and implementation of scalable data pipelines, platforms, and products aligned with Fiserv's strategic goals.
- Lead delivery of AI-ready data products and platform capabilities for 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.
Benefits
- Annual incentive opportunity for incentive-eligible associates, potentially delivered as a mix of cash bonus and equity awards at the Company's discretion.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
