> Markdown version of [/jobs/ext/3822583-data-architect](https://www.wearedevelopers.com/jobs/ext/3822583-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** Fiserv, Inc. - **Location:** Alpharetta, GA, United States - **Experience:** Experienced - **Salary:** $145,000.0 - $240,000.0 - **Contract:** Temporary contract - **Skills:** Training Data, Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Continuous Integration, Data Architecture, Information Engineering, Data Governance, DevOps, Python (Programming Language), Machine Learning, Meta-Data Management, Cloud Services, Data Mesh, Search Technologies, Software Engineering, SQL Databases, Feature Store, Cloud Platform System, Feature Engineering, Azure Data Factory, Retrieval-Augmented Generation, Apache Spark, Generative AI, Data Lakes, Information Technology, Apache Kafka, Spark Streaming, Data Management, Video Streaming, Data Delivery, Data Pipelines, Databricks - **Published:** October 18, 2026 - **Apply:** https://dejobs.org/x/x/F365813B513B4CB7B2429AC767CFB57C/job/ ## About the Role * 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, Mathematics or an equivalent combination of education, work, and/or military experience., * 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, * You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered. ## Description * Define the 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 that support 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., * 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.