Senior Director- Data Engineering

Fiserv • Alpharetta, GA

5d • Onsite

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 to create data solutions for complex business challenges and deliver trusted, high-quality data to clients. It includes strategic planning, data product ownership, and oversight of scalable, reliable data product delivery. The position is on-site Monday through Friday, with approximately 10% travel off-site or to other office locations. Candidates must already possess valid and unrestricted U.S. work authorization; sponsorship is not available.

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, or Mathematics, or an equivalent combination of education, work, and/or military experience.
• Must currently possess valid and unrestricted U.S. work authorization. Candidates requiring sponsorship now or in the future will not be considered.

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 ensure successful delivery of data products.
• Oversee the design, development, and implementation of scalable data pipelines, data platforms, and data 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, as well as engineering best practices, automation (including AI-assisted development), and release quality controls.

Benefits

• Eligible associates may receive an annual incentive opportunity, which may be delivered as a mix of cash bonus and equity awards at the Company's discretion.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior