Director – Data Integration

How will you drive value within the organization as a Director, Data Integration?

• 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

What should you already know to be successful as a Director, Data Integration?

• Minimum of a bachelor’s degree in Computer Science, Information Systems, or related field required
• Minimum of seven (7) years’ experience with high proficiency in ETL, BI, Data Architecture, and Business Analytics required
• Minimum of two (2) years’ experience in building data lake solutions required
• Minimum of two (2) years’ experience in building cloud data warehouses required (i.e., Azure Synapse, Snowflake, Redshift, etc.)
• Advanced skill level in SQL, data modeling, data architecture, data profiling, performance tuning and ETL schedulers required
• Experience building solutions using Hadoop, Spark, Hive, Kafka, or similar technology is preferred
• Experience with modern data encryption standards and secure data exchange processes preferred
• 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

Employment Requirements:

• Must be able to work at a desk/in a seated position up to 100% of the workday
• Must be able to constantly operate a computer and other standard office equipment 
• Must be able to talk and hear to exchange accurate information
• Must have close visual acuity to perform activities such as: preparing and analyzing data and figures; viewing a computer terminal; extensive reading
• This position is full-time
• This position does not require travel