Cloud Data Architect Lead - AI / ML Platforms

Atlanta GA - 303 Peachtree Center Avenue - Garden Offices, United States

Truist

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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:

We are seeking a skilled Cloud Data Architect Lead to design and develop our organization's data infrastructure. The ideal candidate will have experience with data modeling, data warehousing, and agile methodologies. The successful applicant will be responsible for creating scalable and efficient data solutions using various programming languages and technologies. Provide application, systems, or process design recommendations based on short- and long- term Technology organization strategy. Develop enterprise level application and custom integration solutions including major enhancements and interfaces, functions and features. Use a variety of platforms to provide automated systems applications. Provide expertise regarding the integration of applications across the business. Determine specifications, then plan, design, and develop the most complex and business critical software solutions, utilizing appropriate software engineering processes-either individually or in concert with project team. Provide architectural strategy and direction for multiple diverse application functions on a variety of multi-platform systems in order to support the achievement of corporate business objectives. Accountable to design data architecture standards and solutions for the company across data engineering, data platforms, AI / ML platforms, generative AI processes, self-service tools, data transformation tools. Further accountable for partnering with the technology and business teams to solution specific business processes and solutions.

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. 

  • Oversees data architecture for a specific business unit/corporate function (BU / CF), while collaborating closely with Enterprise Architecture, and guiding teams to support evolving strategic business and technical enterprise initiatives.

  • Responsible for aligning data projects to the standards of the data strategy, architecture and enterprise architecture.

  • Accountable for defining the conceptual, logical, and physical data models for their specific BU / CF.

  • Accountable and responsible for instituting data architecture methodology across each BU / CF, as well as overseeing standardized processes for managing and storing data models in a centralized model repository.

  • Partner with the technology, data delivery teams and BU / CF teams to architect solutions to meet specific audit issues, controls issues, MRAs, MRIAs, MRBAs and self-identified issues.

  • Manage the application inventory for their specific BU / CF and mapping those to the data architecture methodology and proposing process changes related to Data Architecture. 

  • Responsible for providing data architecture review and approval for each BU / CF as part of the Architecture Review Board, model governance & ethical practices committee for AI.

  • Translate BU / CF requirements into technical implementations and schemas; determine technical solutions that can fulfill business needs and requests.

  • Design proof-of-concept system prototypes for specific BU / CF with proper architecture.

  • Stay up to speed on emerging industry and technologies while bringing those new practices to Truist.

  • Develop application strategy in support of short- and long-term business plans as well as application implications and software development requirements.

  • Extensive knowledge and experience in architecting modern data integration frameworks, highly scalable distributed systems using open source and emerging data architecture designs/patterns

  • Participate in the development of company business system architecture plans and review cost and feasibility of system requests while ensuring the plan supports the strategic needs of the company.

  • Enterprise scale expertise in data management best practices such as data integration, data security, data warehousing, data analytics, metadata management and data quality.

  • May develop programming and development standards and procedures as well as programming architectures for code reuse.

  • Apply in-depth knowledge of programming languages and designing, coding, testing etc.

  • Understand and consistently apply the attributes and processes of current application development methodologies.

  • Research and maintain knowledge in emerging technologies and possible application to the business. Viewed as a technical expert and critical technical resource.

  • Typically lead complex projects and participate in larger initiatives. Solve complex technical and operational problems.

  • Act as a resource for teammates with less experience. May oversee workflow and provide coaching and training for a small team.

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.

  • Undergraduate degree in either computer science, analytics, data engineering, finance or equivalent degree

  • At least 10 years of experience driving enterprise architecture, solution architecture, data architecture, data strategy, data execution, data engineering or software delivery

  • Previous experience in defining, building and executing on an enterprise data management and governance program

  • Expert problem-solving skills and being able to define detailed strategies

  • Expert in enterprise architecture, solution architecture and data architecture

  • Expert in solution designs based upon business requirements

  • Experience in meeting regulatory obligations and operating in a highly regulatory environment

  • Experience in building a high performing team

Preferred Qualifications:

  • Master’s degree and ten years of experience or an equivalent combination of education and work experience. Knowledge of one or more of technologies such as:  JEE, JAVA Beans, JavaScript, Web Services, SOAP Mobile, WebSphere technologies, Microsoft Technologies such as NET (e.g., VB .Net, C#, or C++, ASP.Net), or COBOL/Mainframe legacy EIS Job Inventory 15 modernization tools and integration techniques including COBOL, WSED, CICS, Assembler, and JCL, XML. Database platforms such as Oracle, SQL Server, DB2 and proficiency in PL/SQL.

  • Solid working knowledge of UML and design tools.

  • Banking or financial services experience.

  • Strong business understanding to be able to bridge technical and business priorities.

  • In an Agile environment: Knowledge of Agile development & release practices. Experience supporting a team with solutions architecture in an agile environment.

  • Experience with MS Power Platform (Power Apps, Power Automate, Power Automate Desktop, Power BI, SharePoint) is a plus

  • Experience with BigData platform like Cloudera (CDH/CDP), AWS EMR

  • Experience with AWS services like EC2, S3, RDS, EKS, Lambda, API Gateway, Route 53, VPC, IAM, etc.

  • Experience with programming technologies, including Java, Python, Kafka, Spark

  • Experience with Data technologies, including SQL, NoSQL, BigData, R, and GraphQL

  • Build cloud native data platforms and capabilities that enable data analytics, reporting, model developments and machine learning

  • Manage and enhance cloud native data lakes and Data Warehouse platforms.

  • Create Proof of Concepts (POCs) to illustrate how cutting-edge technologies can be incorporated and enhance Client's technology offerings

  • In-depth knowledge in information systems and ability to identify, apply, and implement best practices.

  • Understanding of multiple disciplines/processes related to the position.

  • Experience applying and utilizing enterprise architecture standards.

  • Understanding of key business processes and competitive strategies related to the IT function.

  • Ability to plan and manage projects.

  • Ability to solve complex problems by applying best practices.

  • Ability to provide direction and mentor less experienced teammates.

  • Advanced communications skills, including ability to interpret and convey complex, difficult, or sensitive information.

  • In an Agile environment:  Knowledge of Agile development and release practices. Experience supporting a team with application architecture in an Agile environment.

  • 6+ years of experience working with various database technologies e.g. SQL Server

  • 6+ years hands-on experience with ETL (SSIS, SSRS), source code control (i.e. TFS or GIT)) and Data Management tools

  • 4+ years of experience working with large data sets, and optimizing data processes

  • 4+ years of experience with Python and/or data visualization/exploration tools

  • 2+ years of experience with CI/CD pipelines, and Cloud technologies preferably AWS

  • Proficient in SQL/SAS for querying data and data manipulation/transformation

  • Expertise in creating schemas and writing efficient SQL queries on a relational database

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile APIs Architecture AWS Banking CI/CD Classification Computer Science Data Analytics Data management Data quality Data strategy Data visualization Data warehouse Data Warehousing DB2 Distributed Systems EC2 Engineering ETL Finance Generative AI Git GraphQL Java JavaScript Kafka Lambda Machine Learning .NET NoSQL Open Source Oracle Pipelines Power BI Python R RDBMS Research SAS Security SharePoint Spark SQL SSIS Testing XML

Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Health care Insurance Team events

Region: North America
Country: United States

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