Senior Data Architect - First Citizens Bank
Overview
The Senior Data Architect leads enterprise data architecture defining trusted governed business ready data across the organization. This role drives architecture strategy implementation and partners with engineering teams to deliver scalable solutions. Unique value includes shaping data product thinking and establishing governance frameworks.
What You'll Do17
- 1Define and evolve enterprise data architecture standards patterns and reference architectures
- 2Develop target-state architectures supporting ED&A strategic objectives and Nexus platform evolution
- 3Lead architecture design across operational analytical reporting regulatory and AI use cases
- 4Drive consistency across data acquisition storage transformation governance and consumption layers
- 5Establish architecture guardrails balancing agility scalability maintainability and regulatory compliance
- 6Design end-to-end Nexus ecosystem including data ingestion layer event driven ingestion architectures API driven integrations batch near real time ingestion frameworks
- 7Implement AWS S3 data lake architecture landing ingestion zones Snowflake data platform architecture
- 8Architect Data Ingestion Layer Qlik Replicate CDC patterns event driven ingestion APIs batch near real time frameworks
- 9Orchestrate workflows using Astronomer Airflow managing dependencies and data observability
- 10Provide deep expertise across OLTP modeling 3NF operational application schemas transaction processing systems
- 11Drive customer 360 architectures reference master data design domain driven architecture
- 12Partner with governance teams embedding controls within architectural designs
- 13Leverage Collibra BigID platform native capabilities for trust transparency
- 14Optimize Snowflake query performance warehouse utilization and workload management
- 15Design scalable partitioning clustering strategies improve ELT processing reduce data movement
- 16Mentor engineers on modern architecture principles provide thought leadership on emerging technologies
- 17Serve as escalation point for complex architecture challenges
Requirements15
- 1Bachelor's Degree and 6 years of experience in enterprise data architecture advanced data solutions cloud platforms
- 2High School Diploma or GED and 10 years of experience in enterprise data architecture advanced data solutions cloud platforms
- 3Preferred: Financial Services banking industry experience modernizing legacy data warehouses
- 4Preferred: Experience architecting large scale customer 360 solutions supporting regulatory risk reporting
- 5Preferred: Knowledge of Data Mesh Data Product operating models TOGAF CDMP SnowPro AWS or equivalent certifications
- 6Experience 12+ years in Data Engineering Data Architecture Information Management Analytics Engineering
- 7Proven experience leading enterprise scale data modernization programs
- 8Demonstrated experience working directly with engineering teams on implementation optimization
- 9Modern Data Platforms: Snowflake AWS Data Services Amazon S3 Data Lake lakehouse architectures
- 10Cloud native data ecosystems Data Engineering ELT ETL architectures integration patterns Change Data Capture CDC event driven architectures API based integration
- 11Data orchestration frameworks Nexus Core Technologies Snowflake DBT Qlik Replicate Astronomer Apollo Airflow
- 12Nexus: Data Vault 2.0 hubs satellites business vault design point in time structures bridge tables
- 13Auditability lineage patterns information architecture enterprise canonical models business capability mapping
- 14Reference master data design domain driven architecture customer 360 architectures
- 15Benefits are an integral part of total rewards
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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