Data Architecture - Advisor II
ExternalPrepare for this interview
EliteAI-generated questions, company research, and talking points tailored to this role
Responsibilities
- Design enterprise data architecture for operational data stores, near real-time data warehouses, and analytical platforms across cloud and on-premises environments.
- Create conceptual, logical, physical, and entity relationship data models that support performance, scalability, governance, and long-term maintainability.
- Lead data modeling and data design sessions with business, IT, Business Intelligence, and system-of-record stakeholders to translate requirements into prototypes, standards, and implementation-ready models.
- Establish and promote reusable data assets, common data models, and architecture standards to support a single version of truth across the data landscape.
- Develop source-to-target mappings, process mappings, lineage artifacts, and reverse and forward engineering analyses for complex data flows and integrations.
- Build and optimize data solutions using Snowflake, Structured Query Language (SQL), Python, and related data technologies to support ingestion, automation, monitoring, performance tuning, and governed data sharing.
- Mentor junior team members through data architecture guidance, modeling reviews, and knowledge sharing on standards, tools, and best practices.
- Responsibilities listed are not intended to be all-inclusive and may be modified as necessary.
- Experience you'll need to have:
- 10+ years of experience in enterprise data architecture, data modeling, and data warehousing for large-scale environments, including operational data stores and near real-time data warehouses.
- 15+ years of experience creating conceptual, logical, physical, and entity relationship data models using erwin Data Modeler or an equivalent data modeling tool.
- 10+ years of experience in financial services data domains, including account, card, payment, or digital processing data.
- 8+ years of experience writing and optimizing SQL for complex data analysis, physical data model design, and performance tuning across platforms such as Snowflake, Oracle Exadata, Hadoop, Spark, or MongoDB.
- 6+ years of experience using Python or a similar scripting language to automate monitoring, alerts, ingestion workflows, interfaces, and data governance processes.
- Experience facilitating cross-functional design sessions and communicating complex technical concepts to business partners, engineers, developers, and Business Intelligence teams.
- Bachelor's Degree in computer science, information systems, data management, or a related field, or equivalent combination of education, related experience and/or military experience.
- 1+ years of Fiserv systems experience.
- Experience that would be great to have:
- Experience with event streaming and event-based data warehousing methodologies.
- Experience with domain-driven design, microservices-based architecture, bounded contexts, or data mesh principles.
- Experience building or maintaining enterprise data catalogs, metadata repositories, and end-to-end lineage using Alation, Collibra, or similar platforms.
- Experience with BIAN, IBM Banking and Financial Markets Model, ISO 20022, Matillion, SnapLogic, dbt, Power BI, Splunk, or advanced Excel automation.
- 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.
- This role requires use of a computer and audio equipment.
- Sponsorship:
- Salary Range
- $128,000.00 - $216,000.00
- These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.
- It is unlawfu
Additional Information
Calling all innovators - find your future at Fiserv. We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Data Architecture - Advisor II About your role: As a Data Architecture Advisor II, you will define and advance enterprise data architecture that enables robust data governance, scalable data design, and consistent standards across cloud and on-premises environments. You will work with business partners, engineers, developers, business intelligence teams, and system-of-record subject matter experts to design trusted, high-performance data assets that improve data quality, reuse, and decision-making across the enterprise.
Your Match
How well this role fits your profile.
Company Intel
What employees say
Worked at fiserv? Share your experience