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About the Role

Support a team responsible for technology solutions that meet business needs and satisfy data requirements of the Enterprise Fraud Management group. This role is focused on enabling the Card Fraud Strategy Analytics team and engages with many business and technology partners. Success will be driven by the ability to partner with upstream and downstream groups, applications, architecture teams, and technology tool teams. Consult and partner with business product owners to understand end goals and offer solutions and recommendations during the design phase. Must be adept at data discovery, source identification, profiling, data governance concepts, privatization, enterprise technology standards, ETL design, big data, cloud engineering concepts, reporting and analytic design, and analytic tool platforms. Existing awareness of banking products, transactions, and card fraud concepts is highly desired. Establishing relationships with Card Fraud Strategy and Fraud Management Teams and anticipating needs and values is key.

Responsibilities

Serve as a key liaison between the Technology Delivery team and LOBs.
Collaborate with peer groups in Technology and LOBs to identify, document, and communicate business needs and provide technology solutions.
Work closely with business stakeholders to understand business processes and strategies.
Establish project and work requests requirements using document, business process, and workflow analysis.
Ensure all stakeholders are involved in requirements gathering activities.
Facilitate requirements elicitation sessions and walkthroughs with appropriate stakeholders to plan, elicit, capture, analyze, and validate business, functional, and technical requirements.
Work closely with Fraud and Enterprise Architects to perform current state analysis of existing business systems, applications, and functions.
Understand long-term business objectives and suggest strategies to meet those objectives and introduce technical innovations.
Develop and maintain effective working relationships with business process owners and other stakeholders to support documenting acceptance criteria and a plan to facilitate user acceptance testing.
Prioritize and request data capture in enterprise repositories (Data Lake, Snowflake) for analytic support and card fraud team needs.
Support Card Fraud Data Delivery Team with new initiatives, work on design and solutions (interim and long-term) to enable business partners to perform better analytics to fight fraud.
Work with various vendors that supply data for Card Fraud needs, and support delivery of new initiatives and projects.
Research data availability, sourcing, quality, relationships, and lineage.
Work with other Data Delivery teams to source data within the Enterprise.
Partner with engineers, data scientists, and data office leadership to define and refine data architecture and technology choices.
Analyze existing Informatica and Ab Initio ETL codebases, document transformation logic, and convert them into scalable Talend ETL jobs.
Support migration and modernization efforts from legacy ETL tools (Informatica/Ab Initio) to Talend and Snowflake DB.
Design and implement ETL/ELT pipelines to load and transform data into Snowflake, aligning with Medallion architecture layers (Bronze, Silver, Gold).
Optimize data pipelines for performance, scalability, and cost-efficiency within Snowflake.
Collaborate with data engineering teams to ensure data quality, governance, lineage, and reconciliation during ETL migration and transformation processes.
Direct the engineering and deployment of delivery projects in accordance with specified technical requirements and schedules, including Agile methodologies.
Oversee the planning, design, engineering, testing, and deployment of application projects in conjunction with a variety of resources, which may include Waterfall or Agile approaches.
Adapt plans to meet service and/or operational challenges.
Identify and resolve technical and business evolving needs from the Card Fraud team based on new fraud attacks.

Requirements

Bachelor’s degree in computer science, Software Engineering, or related field with 5 years of relevant experience or equivalent education and training.
In-depth knowledge of information systems and ability to identify, apply, and implement IT best practices.
Hands-on experience with Talend ETL and Snowflake data platform is required.
Ability to analyze, understand, and convert existing Informatica and Ab Initio ETL workflows into Talend jobs is critical.
Must have working knowledge of Snowflake architecture including databases, schemas, virtual warehouses and performance optimization, along with understanding of Medallion architecture (Bronze, Silver, Gold layers).
Experience with Talend Data Integration and working experience with Snowflake cloud data platform is required.
Must have the ability to understand and interpret legacy ETL workflows (Informatica and Ab Initio) and translate them into modern Talend-based solutions.
Strong understanding of ETL/ELT migration strategies is essential.
Experience implementing Medallion architecture (Bronze/Silver/Gold layers) in Snowflake or similar cloud platforms.
Knowledge of Snowflake optimization techniques such as clustering, partitioning, query tuning, and cost optimization.
Experience with Talend orchestration, scheduling, and end-to-end pipeline development.
Familiarity with data lake migrations, cloud data platforms, and enterprise data modernization initiatives is preferred.
Experience working with transactional data, working knowledge of SQL, relational databases, working experience and understanding of ETL/ELT architecture and concepts, data integration concepts and big data concepts.
Fraud – understanding of financial fraud and the data required to identify and prevent different types of attacks.

Skills

Talend ETL
Snowflake data platform
Informatica
Ab Initio
Snowflake architecture
Medallion architecture
ETL/ELT
Data discovery
Source identification
Data profiling
Data governance concepts
Privatization
Enterprise technology standards
ETL design
Big data
Cloud engineering concepts
Reporting design
Analytic design
Analytic tool platforms
Banking products
Transactions
Card fraud concepts
Agile/Lean methodologies
SQL
Relational databases
Data integration concepts
Microsoft Office software products
Critical and analytical thinking
Problem-solving skills
Presentation skills
Verbal and written communication skills
Teamwork skills
Influencing skills
Facilitation skills
Organizational skills

Location

United States of America

Work Type

Regular
1st shift

Experience Level

5 years of relevant experience
six years of information technology experience
Management Experience

Education Level

Bachelor’s degree in computer science, Software Engineering, or related field
Bachelor degree or equivalent experience

Benefits

Medical
Dental
Vision
Life insurance
Disability
Accidental death and dismemberment
Tax-preferred savings accounts
401k plan
10 days of vacation
10 sick days
Paid holidays
Defined benefit pension plan
Restricted stock units
Deferred compensation plan

About the Company

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.

Equal Opportunity

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