Data Architect
About The Position
Fiserv is seeking a Data Architect to define and lead the architecture of scalable, secure, and reliable data products that support analytics, reporting, and client data delivery. The role partners with product, engineering, and business stakeholders to design modern cloud data platforms, set technical standards, and ensure data products meet quality, performance, and service-level commitments. The position is on-site Monday through Friday, with approximately 10% travel to off-site or other office locations. Candidates must have valid and unrestricted U.S. work authorization; sponsorship is not available now or in the future. The salary range for employees in New Jersey and New York is $145,000–$240,000; ranges may differ in other states. Incentive-eligible associates may receive an annual incentive opportunity, potentially as a mix of cash bonus and equity awards, at the company’s discretion.
Requirements
- 8+ years of experience in data engineering, data architecture, or software development.
- 5+ years of experience designing and building data platforms or data products at enterprise scale.
- 4+ years of experience with Databricks, Apache Spark, and Delta Lake or similar lakehouse technologies.
- 4+ years of experience with Azure, AWS, or GCP data services.
- 4+ years of experience with SQL, Python or Scala, and data modeling (dimensional, relational, and lakehouse).
- 3+ years of experience with data governance, security, and access control practices.
- 3+ years of experience with CI/CD pipelines, DevOps 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 are not considered.
Nice To Haves
- Experience in the financial services industry.
- Experience with Unity Catalog, data mesh, or streaming technologies such as Kafka or Spark Structured Streaming.
- Experience enabling AI/ML and generative AI solutions on Databricks or similar platforms, such as feature stores, vector databases, or RAG pipelines.
- Experience leading large-scale data platform migrations and client data delivery with SLA commitments.
- Databricks, Azure, or AWS architecture certifications.
Responsibilities
- Define end-to-end architecture for data products, including ingestion, transformation, storage, governance, and delivery on cloud data platforms.
- Partner with product owners and business stakeholders to translate requirements into data models, technical designs, and delivery roadmaps.
- Design and oversee scalable batch and streaming pipelines using Databricks, Spark, and Azure data services.
- Design 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.
- Establish standards for data quality, security, access control, lineage, and metadata management across data products.
- Lead platform modernization and migration initiatives, ensuring client data delivery meets performance and SLA commitments.
- Conduct architecture and design reviews, and drive engineering best practices, automation (including AI-assisted development), and release quality controls.
- Mentor data engineers and provide technical guidance to cross-functional and vendor teams.
Benefits
- Annual incentive opportunity for 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
