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Director – Data Integration

Updated on 6/25/2024

Global Lending Services

Global Lending Services

501-1,000 employees

Provides credit and reliable transportation services

Financial Services
Data & Analytics

Senior, Expert

Greenville, SC, USA

Data Management
Data Engineering
Data & Analytics
Required Skills
Microsoft Azure
Data Structures & Algorithms
Apache Spark
Apache Kafka
Apache Hive
Business Analytics
  • Minimum of a bachelor’s degree in Computer Science, Information Systems, or related field
  • Minimum of seven (7) years’ experience with high proficiency in ETL, BI, Data Architecture, and Business Analytics
  • Minimum of two (2) years’ experience in building data lake solutions
  • Minimum of two (2) years’ experience in building cloud data warehouses (i.e., Azure Synapse, Snowflake, Redshift, etc.)
  • Advanced skill level in SQL, data modeling, data architecture, data profiling, performance tuning and ETL schedulers
  • Experience building solutions using Hadoop, Spark, Hive, Kafka, or similar technology is preferred
  • Experience with modern data encryption standards and secure data exchange processes
  • Advanced knowledge of physical database design and data structures
  • Proven experience in overseeing the linking of cross-functional databases between disparate business units and systems
  • Knowledge of SDLC and quality control processes to be followed in various projects
  • Strong project management skills to include the development of project timelines, tasks, assigned resources, dependency management and risk management
  • Ability to quickly understand products, processes, and business needs to drive projects, improvements, and provide solutions
  • Demonstrated ability to work quickly and with high attention to detail
  • Excellent critical thinking and problem-solving skills
  • Ability to manage multiple priorities and thrive in a fast-paced environment
  • Demonstrated ability to motivate and lead a team - provide quality training, guidance, performance coaching, and feedback to assigned staff
  • Provide the vision, strategy, and operational framework to deliver data integration solutions that meet business requirements
  • Develop and maintain comprehensive data pipeline program for data integration and work with key stakeholders to provide insight to make data-backed decisions
  • Develop data standards working in collaboration with the data architecture team in terms of naming convention, storage, design, and deployments for the DWH
  • Lead a team of engineers to deliver high quality and reliable data using continuous improvement principles throughout the delivery and operational support models
  • Manage large, complex projects including program oversight and execution (Governance, Project Plans, Stakeholder Communication Plans, Requirements, Testing, Design, Issue/Risk identification and resolution, project resourcing, project budget, etc.)
  • Contribute to IT Architecture Review Board meetings, protecting the interests of Data Warehouse and Business Intelligence users
  • Develop, test, and implement integration processes
  • Ensure all interfaces, Extract/Transform/Load/Reporting processes align to GLS’s Enterprise Architecture and Security standards
  • Assist in identifying, driving, and enforcing best practices for change control, testing, information security, and data governance, making use of DevOps principals and the latest in cloud technology
  • Coach and mentor the team to maintain current technology skills and assist with career development objectives
Global Lending Services

Global Lending Services


GLS utilizes data analytics and advanced technology to provide affordable credit and reliable transportation, aiming to make transportation more accessible and affordable for customers. The main technologies employed include data analytics and advanced technology to create value for customers.

Company Stage


Total Funding



Greenville, South Carolina



Growth & Insights

6 month growth


1 year growth


2 year growth