Leadership Triangle · 2 hours ago
Data Architect - Data Engineer III - AI/ML Engineer
Raleigh, NC
Full-time
Onsite
Senior Level, Lead/Staff
8+ years expTruist is a financial corporation seeking a Data Engineer III who will be responsible for sourcing, analyzing, documenting, and maintaining data assets. The role involves leading projects independently, contributing to AI-driven applications, and collaborating with senior engineers and architects.
ConsultingNon ProfitTraining
Responsibilities
Lead research, analyze, design, develop and/or maintain data assets in support of projects, information needs and business requirements. Perform analysis, validation and interpretation of outputs
Take ownership of issues through resolution, including close coordination with line of business (LOB) partners, Enterprise Data Office and Enterprise Information Services
Have a deep understanding of critical application systems and ability to transform data assets to aid in consumption by BI developers, decision & data scientists across the bank
Utilize the full array of data tools including static, SQL, R, Python, SAS to organize and format data assets by defining requirements and implementing automated repeatable solutions
Conduct business analysis, respond to change; solve highly complex business and data problems
Manage appropriate security, compliance, privacy considerations and follow data management guidance. Train junior team members in coding efficiently and accurately
Prioritize and manage ad hoc data pulls, in depth analysis and reporting efforts to LOB partners and management
Develop solutions and recommendations for improving data integrity issues. Analyze data issues and work with development teams for problem resolutions. Identify problematic areas and conduct research to determine the best course of action to correct the data, identify, analyze and interpret trends and patterns in complex datasets
Foster communication and partnership across multiple levels of the organization including engagement with mid-level managers
Work closely with senior AI/ML engineers, cloud engineers, and data scientists to learn architecture patterns, coding standards, and best practices
Participate in team standups, design discussions, and code reviews to build strong engineering fundamentals
Collaborate with product managers and cross‑functional teams to understand requirements and support feature development
Ask questions proactively and contribute to a supportive, curiosity‑driven team culture focused on growth and innovation
Partner with more experienced team members to break down tasks, estimate work, and deliver high‑quality code on schedule
Share learnings, create documentation, and help strengthen team knowledge through demos or internal presentations
Qualification
Required
Bachelor's degree and 8+ years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
Demonstrated knowledge and skill in strategic data assets warehousing and transactional application data concepts and technology
Proven experience with data engineering and ability to manage large data volumes
Demonstrate understanding of data analytics life cycle methodologies including data cleansing and preparation methodologies
Strong familiarity with data extraction in a variety of environments (e.g., SQL, SAS, etc.)
Experience in managing multiple projects with tight deadlines in a collaborative environment
Maintain a high level of competency in analytical principles, tools, and techniques
Preferred
Master's degree in field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
10+ years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science or Engineering
Strong foundation in Python and basic experience with ML libraries such as Scikit‑learn, TensorFlow, PyTorch, or HuggingFace
Understanding of machine learning concepts: dataset preparation, training/validation, evaluation, and inference
Familiarity with cloud fundamentals (AWS or Azure), containers (Docker), Git, and command‑line workflows
Eagerness to learn AWS AgentCore, Azure Service Fabric, and enterprise‑scale AI application development
Ability to write clean, maintainable code and follow software engineering best practices
Strong analytical thinking, curiosity, and willingness to explore new AI and cloud technologies
Benefits
Medical
Dental
Vision
Life insurance
Disability
Accidental death and dismemberment
Tax-preferred savings accounts
401k plan
Vacation
Sick days
Paid holidays
Defined benefit pension plan
Restricted stock units
Deferred compensation plan
Company
Leadership Triangle
Leadership Triangle educates and promotes regionalism across the separate communities.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase