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Regular or Temporary:

Regular

Language Fluency:  English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

Deliver technically complex solutions. Responsible for developing, building, and maintaining data or BI or content management, document composition platforms on on-premise infrastructure and cloud (SaaS) instance, where appropriate. Designs and implements fault tolerant systems (High Availability, Disaster Recovery) and creating a cloud-native enterprise data platform that drives near real-time decision-making.

This role sits in the Technology Data & Operations division in the Data Analytics & AI Office representing the Business Intelligence Center of Enablement (COE). The role sits adjacent to the BI platform architects / owners and involves responsibility to maximize ROI on Enterprise Business Intelligence (BI) platforms through expert consulting, community engagement, POC’s, UI/UX design and other enablement services. To be successful in this role, the individual will be proficient in one of our BI platforms and passionate about learning new ones. The individual will also have relevant BI delivery experience with the ability educate and enable other BI developers.

For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)

This position is office-centric 5 days a week in one of our Truist hubs.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job.  Other duties may be performed, both major and minor, which are not mentioned below.  Specific activities may change from time to time. 
1.    Defines and operationalizes Data or BI or Content Management, Document composition platforms platform and enables relevant use cases.
2.    Develops, maintains, and improves deployment pipelines for the platforms. Maintains and ensures operational metadata (logs, performance metrics, etc.) are available for diagnostics.
3.    Assists in architecture definition and provides solution design for these platforms. Creates automated solutions and frameworks to deliver efficiency.
4.    Build non-functional monitoring capabilities and provide escalated support for highly complex platforms and services in production.
5.    Build in and maintain security controls and monitoring in support of company standards.
6.    Analyzes information to determine business needs from requests and implement effective technical solutions by providing problem analysis and resolution in a timely manner and explain and interpret complex, difficult, or sensitive information.
7.    Takes a new perspective on existing solutions to solve problems of moderate to high complexity and exercise judgment based on the analysis (e.g. modeling, testing, etc.) of multiple sources of information.
8.    Lead medium to large data engineering projects with manageable risks and resource requirements; plays significant roles in larger, more complex initiatives.

QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1.    Bachelor's degree and six to ten years of experience in systems engineering or administration or equivalent education and related training or experience.
2.    In-depth knowledge of Lin