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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Architect - **Company:** First Citizens - **Location:** Phoenix, AZ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Query Performance, Third Normal Form, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Business Analytics Applications, Data Analysis, Audit Trail, Big Data, Bioinformatics, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Retention, Data Sharing, Data Systems, Data Vault Modeling, Data Warehousing, Software Design Patterns, Dimensional Modeling, Information Management, Metadata, Meta-Data Management, Online Analytical Processing, Cisco Nexus Switches, Online Transaction Processing, Performance Tuning, Raw Data, Reference Data, Cloud Services, DataOps, Data Streaming, Transaction Data, User-Centered Design, Enterprise Data Management, Data Storage Technologies, Cloud Platform System, Data Classification, Feature Engineering, Data Ingestion, Snowflake, Change Data Capture, Togaf, Data Layers, Event Driven Architecture, Data Lakes, Data Lineage, Collibra, Qlikview, Star Schema, AWS Fargate, AWS Data Analytics, Data Management, Api Design, Domain Driven Design, Data Pipelines - **Published:** August 8, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87982499/1 ## About the Role Bachelor's Degree and 6 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms OR High School Diploma or GED and 10 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms, * Financial Services or Banking industry experience. * Experience modernizing legacy data warehouse environments. * Experience architecting large-scale Customer 360 solutions. * Experience supporting regulatory and risk reporting ecosystems. * Knowledge of Data Mesh and Data Product operating models. * TOGAF, CDMP, SnowPro, AWS, or equivalent certifications. Experience * 12+ years of experience in Data Engineering, Data Architecture, Information Management, or Analytics Engineering. * 5+ years serving as a lead architect for enterprise-scale data platforms. * Proven experience designing and implementing modern cloud data platforms. * Demonstrated experience leading large-scale data modernization programs. * Experience working directly with engineering teams on implementation, optimization, and troubleshooting. ## Description The Senior Data Architect is a senior technical leader within Enterprise Data & Analytics (ED&A) responsible for defining, designing, and implementing enterprise-scale data architectures that enable trusted, governed, and business-ready data across the organization. This role requires deep hands-on expertise across transactional systems (OLTP), analytical platforms (OLAP), modern cloud data platforms, data integration, and enterprise data modeling. The Senior Data Architect is expected to operate from strategy through implementation, partnering with engineering teams to design scalable solutions while actively participating in architecture reviews, complex data modeling, performance optimization, data product design, and platform modernization initiatives. The ideal candidate brings extensive experience designing and implementing modern data ecosystems leveraging AWS, Snowflake, Data Vault 2.0, DBT, API-based integration patterns, event-driven architectures, metadata management, and AI-ready data foundations., Enterprise Data Architecture & Design * Define and evolve enterprise data architecture standards, patterns, and reference architectures. * Develop target-state architectures supporting ED&A strategic objectives and Nexus platform evolution. * Lead architecture design across operational, analytical, reporting, regulatory, and AI use cases. * Drive consistency across data acquisition, storage, transformation, governance, and consumption layers. * Establish architecture guardrails balancing agility, scalability, maintainability, and regulatory compliance. Modern Data Platform Architecture Serve as a senior technical architect responsible for end-to-end design of the Nexus ecosystem including: Data Ingestion Layer * Qlik Replicate and CDC patterns * Event-driven ingestion architectures * API-driven integrations * Batch and near real-time ingestion frameworks * External and third-party data integration Data Storage & Processing Layers * AWS S3 data lake architecture * Landing and ingestion zones * Snowflake data platform architecture * Raw Data Vault implementation * Business Data Vault design * Consumption and semantic layers * Data sharing and data product architectures Transformation & Orchestration * DBT architecture and modeling standards * ELT pipeline design * Reusable transformation frameworks * Astronomer (Airflow) orchestration patterns * Workflow dependency management * Data observability and monitoring Operational Analytics * API-enabled data products * Fargate-based services * Near real-time analytics solutions * Event streaming architectures * Operational reporting architectures Enterprise Data Modeling Leadership Provide deep expertise across multiple modeling disciplines: OLTP Modeling * Third Normal Form (3NF) * Operational application schemas * Transaction processing systems * Customer, account, loan, and transaction data structures * Source system integration patterns Analytical Modeling (OLAP) * Star schemas * Snowflake schemas * Fact and dimension design * Aggregate layer strategies * Semantic modeling Data Vault 2.0 * Hubs * Links * Satellites * Business Vault design * Point-in-time structures * Bridge tables * Auditability and lineage patterns Information Architecture * Enterprise canonical models * Business capability mapping * Customer 360 architectures * Reference and master data design * Domain-driven architecture * Architects in this role are expected to actively review and contribute to data models rather than simply approve designs. Data Products & Domain Architecture * Drive adoption of data product thinking across ED&A. * Define standards for ownership, accountability, quality, discoverability, and reuse. * Partner with business domains to establish trusted and reusable analytical assets. * Design scalable domain-oriented architectures supporting Data Mesh principles where appropriate. * Enable self-service consumption through governed data products. Data Governance by Design Partner closely with Governance teams to embed controls directly within architectural designs. Responsibilities include: * Metadata architecture * Business glossary alignment * Technical and business lineage * Data quality architecture * Data contract implementation * Sensitive data classification * Policy-based access control * Data retention and auditability * Leverage Collibra, BigID, and platform-native capabilities to improve trust and transparency across enterprise data assets. Performance Optimization & Engineering Excellence Actively troubleshoot and improve platform performance by: * Reviewing Snowflake query performance * Optimizing warehouse utilization and workload management * Designing scalable partitioning and clustering strategies * Improving ELT processing efficiency * Reducing data movement and duplication * Enhancing pipeline scalability and resiliency * Ensuring efficient storage and compute utilization * Expected to participate in technical deep-dives and solution reviews with engineering teams. AI & Advanced Analytics Architecture * Define architectural foundations for enterprise AI initiatives. * Design AI-ready data products and curated consumption layers. * Support feature engineering and model-serving architectures. * Enable trusted, explainable, and governed AI data pipelines. * Partner with Data Science teams to ensure scalability of predictive and generative AI solutions. * Architect retrieval, metadata, and knowledge-layer capabilities supporting future GenAI initiatives. Technical Leadership * Lead architecture reviews across strategic initiatives and programs. * Influence technical direction across engineering, analytics, governance, and business teams. * Mentor engineers, architects, and modelers on modern architecture principles. * Establish engineering standards, design patterns, and reusable frameworks. * Provide thought leadership on emerging technologies and industry best practices. * Serve as the escalation point for complex architecture and modeling challenges., Modern Data Platforms * Snowflake * AWS Data Services * Amazon S3 * Data Lake and Lakehouse architectures * Cloud-native data ecosystems Data Engineering * ELT/ETL architectures * Data integration patterns * Change Data Capture (CDC) * Event-driven architectures * API-based integration * Data orchestration frameworks Nexus Core Technologies * Snowflake * DBT * Qlik Replicate * Astronomer / Apache Airflow * AWS * Data Vault 2.0 * Collibra * BigID Data Modeling * Conceptual, Logical and Physical Data Modeling * Data Vault 2.0 * Dimensional Modeling * Canonical Modeling * Master Data Management * Reference Data Management Data Management * Data Governance * Data Quality * Data Lineage * Metadata Management * Data Cataloging * Data Contracts Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits. First Citizens Bank is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race (including traits historically associated with race, such as hair texture and protective hairstyles), color, religion, national origin, sex, age, disability, protected veteran status, sexual orientation, gender identity, genetic information, military membership, application, or obligation, or any other legally protected status. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)