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Senior Data Architect
First Citizens Bank. Develop and drive implementation of enterprise-wide data architecture strategies .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in enterprise data architecture, including the design and implementation of cloud-native data platforms and advanced data integration strategies. Proven ability to lead data governance initiatives and mentor data professionals while ensuring compliance with industry standards.
Highest-signal resume keywords
Enterprise Data Architecture DesignCloud-Native Data SolutionsData Governance And ComplianceData Integration PatternsExperience With Snowflake
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData ArchitectureAdvanced Data SolutionsData Lake ArchitecturesData WarehousingData ModelingChange Data Capture (CDC)Event-Driven ArchitecturesDimensional ModelingMaster Data Management
Soft Skills
Thought LeadershipMentoringCollaborationCommunicationInfluencing
Tools & Technologies
AWS Data ServicesAmazon S3DBTQlik ReplicateApache AirflowCollibraBigIDData Orchestration FrameworksData CatalogingData Contracts
Certifications & Qualifications
TOGAFCDMPSnowProAWS
Industry Keywords
Financial ServicesBankingData MeshCustomer 360 SolutionsRegulatory Reporting
Tech Stack
Tools & technologiesAirflowApacheAWSCloudETLSnowflakeVault
About the role
Key responsibilities & impact- Develop and drive implementation of enterprise-wide data architecture strategies
- Lead the design of complex, cross-functional data solutions
- Align data architecture with business goals and technology roadmaps
- Provide thought leadership in emerging data architecture concepts such as data mesh and data fabric
- Architect sophisticated data solutions for big data, real-time analytics, and machine learning
- Design and implement data lakes, data warehouses, and hybrid architectures
- Lead adoption of cloud-native data platforms and services
- Develop strategies for data integration across diverse systems and platforms
- Evaluate and recommend emerging data technologies and methodologies
- Lead proof-of-concept initiatives for new data architecture approaches
- Collaborate with vendors and partners to influence product roadmaps
- Drive adoption of cutting-edge data solutions
- Establish and enforce data architecture standards and best practices
- Contribute to data governance initiatives and policies
- Ensure compliance with data regulations and industry standards
- Develop strategies for maintaining enterprise-wide data quality and consistency
- Mentor data architects and other data professionals
- Lead advanced training sessions and workshops on data architecture
- Represent the organization at industry conferences and forums
- Contribute to the data architecture community through publications or speaking engagements
- Partner with engineering teams on implementation, optimization, and troubleshooting
- Participate in architecture reviews, complex data modeling, performance optimization, data product design, and platform modernization initiatives
Requirements
What you’ll need- 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
- 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
- Enterprise data architecture design
- Advanced data integration and analytics platforms
- Cloud-native data solutions
- Data governance and compliance
- Emerging data technologies and methodologies
- Experience with Snowflake, AWS Data Services, Amazon S3, data lake and lakehouse architectures, cloud-native data ecosystems, ELT/ETL architectures, data integration patterns, Change Data Capture (CDC), event-driven architectures, API-based integration, data orchestration frameworks, DBT, Qlik Replicate, Astronomer / Apache Airflow, Data Vault 2.0, Collibra, BigID, conceptual/logical/physical data modeling, dimensional modeling, canonical modeling, Master Data Management, Reference Data Management, data governance, data quality, data lineage, metadata management, data cataloging, and data contracts
- Preferred: Financial Services or Banking industry experience
- Preferred: Experience modernizing legacy data warehouse environments
- Preferred: Experience architecting large-scale Customer 360 solutions
- Preferred: Experience supporting regulatory and risk reporting ecosystems
- Preferred: Knowledge of Data Mesh and Data Product operating models
- Preferred: TOGAF, CDMP, SnowPro, AWS, or equivalent certifications
Benefits
Comp & perks- Competitive, thoughtfully designed and quality benefits program
- Benefits information provided at https://jobs.firstcitizens.com/benefits