Enterprise Data Architect - Lillington, United States - First Citizens Bank

First Citizens Bank Lillington, United States

3 weeks ago

Description

Overview:
As Enterprise Data Architect, you will be a key member of First Citizens Bank's Information Technology organization. This position establishes and implements the overall data management technological direction of the bank. Also, the role provides strategic enterprise data technical vision while directing immediate data architecture initiatives.

This position ensures the overall quality of technology data implementations across multiple domains and leads the design and integration of key data storage and systems.

Responsibilities:
Technical Strategy - Drives enterprise-wide data management architectural vision and strategy. Establishes a data management roadmap that translates high-level business planning information into application needs and solutions.

Business Support and Technical Consultation - Provides technical direction for the Bank's annual investment in all data technology areas, including data infrastructure, architecture, management, integration, quality, reporting, and analytics.

Establishes collaborative, cross-functional relationships within IT and the business and communicates information and provides advice to drive enterprise data architecture decisions forward.

Offers data guidance to application development teams.

Collaborates effectively with business partners to understand how critical business concepts are captured in data and to solve complex problems and meet business needs.

Communicates a clear vision for IT management and senior technical staff to ensure maximum leverage of both purchased and developed technology.

Technical Expertise - Provides data architecture thought leadership to cross-functional teams in the areas of advanced data techniques, including data modeling, data access, data integration, data visualization, data discovery, statistical methods, database design and implementation.

Utilizes expertise to partner on the design of enterprise data solutions, planning technology migrations, vendor or product selection, and solution integration.

Designs enterprise data warehouses and departmental/competency data marts that allow business to derive corporate strategies and actionable tactics from the data, optimizing for reporting and analytics.

Architecture - Designs, creates, and maintains the conceptual data infrastructure to support data quality, data stewardship, data integration, data migration and system collaboration in support of business model and information needs.

Documents the blueprint of the data infrastructure in text documents and graphic diagrams that can be leveraged by the enterprise, including master plan of the enterprise data locations, data flows and data availability.

Sets standards, policies, guidelines, and best practices which ensure that data assets are managed appropriately, including standardizing data definitions, data formats, and the acceptable storage, integration and usage of data for high data quality and unquestionable data reliability.

Qualifications:
Bachelor's Degree and 10 years of experience in Application Development, Systems Engineering, or Information Technology management.
OR
High School Diploma or GED and 14 years of experience in Application Development, Systems Engineering, or Information Technology management.

Additional Requirements:
Working experience in financial services and retail banking product development experience.
Experience in developing data warehouse solutions and end-to-end development life-cycle support and SDLC processes
Knowledge of database platforms, data mesh architecture, and application designs that cross those platforms.
Excellent problem-solving skills and data modeling skills (logical, physical, semantic etc.,)
Experience in technology infrastructure management.
Substantive experience leading data technology and delivery across multiple platforms (ex: Netezza, Infosphere, Denodo, Collibra, Snowflake).
Experience with Data Movement & Consumption (ETL, DataStage, Informatica).
Experience building and sustaining credibility with senior leaders across an organization.
Ability to prioritize investment on new data-related technologies in conjunction with business units.
Collaborate with key stakeholders to define new data needs.
Ability to maximize data-based decisions for key business units.
Outstanding Leadership & Communication skills.
Enterprise Data Warehouse (EDW).

Preferred Qualifications:
Financial Services industry experience.

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