POSITION SUMMARY

The Senior Director, Data / ETL Architect has advanced technical knowledge and state of the art enterprise data architecture expertise and can effectively articulate/evangelize data integration and access solutions across the Movement. This innovative individual is an integral member of the Data Engineering team, providing strategic direction on modernizing data architecture and innovative solutions (data fabric, Large Language Models (LLMs), and Artificial Intelligence) to meet the needs of the organization.
This position also has an operational responsibility for 15+ data pipelines and integrations serving several mission critical applications including the Enterprise Data Warehouse. The complexity and uniqueness of the Girl Scout technology stack requires a diverse range of Extract, Transform, Load (ETL/ELT) development and data architecture experience across multiple platforms, formats, and extraction methods.
This requires expertise on a variety of platforms and projects such as: Snowflake integration; AWS cloud migration; centralized ETL; data warehouse modeling, building new data pipelines; and broadening existing data integration services to support our data domains. As the Girl Scout technology ecosystem grows, the individual is responsible for designing and building the processes necessary to make the data consumable and ready for use to solve the tough challenges of our business.
The GSUSA Enterprise Data Warehouse serves the entire organization as well as our 112 Councils. The scale and complexity of the implementation consists of over 2 million active members; over 18 years of history from three generations of operational systems; and fact tables with hundreds of millions of records. The Senior Director, Data / ETL Architect works with Technology and Analytics & Insights Leadership to understand the organization and community objectives and provide strategic and innovative solutions that leverage data to grow our membership and increase revenue.
They will make data useful by designing, developing and maintaining scalable data pipelines from multiple sources; building out new API integrations to support continuing increases in data sources, volume and complexity; addressing data quality issues; modeling, transforming, distilling, combining and delivering it to a repository or consuming system in a performant manner. This position will work with various forms of data (xml, json, text, csv, etc,) and data sources (APIs, server logs, external data, no-sql, etc). Ultimately, it will be the Data/ETL Architect that manages Girl Scouts’ complex data landscape in today’s world.

ETL SUPPORT AND MAINTENANCE

• Performance tune ETL/ELT applications to manage high volume data transfer to and from internal and external system locations.
• Manage and schedule Driver Upgrades in the Dev and Prod environments and oversee all UAT of said upgrades.
• Provide documentation and knowledge transfer to Data Engineering team members.
• Manage API upgrades in Dev and Prod environments including ETL/EDW modifications if needed.
• Support and monitor existing ETL/ELT processes.
• Troubleshoot ETL/ELT issues, recommend, test, and implement solutions expedited as needed for mission critical applications
  Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job.

REQUIRED TECHNICAL SKILLS

Demonstrated experience with data fabric, Large Language Models (LLMs), and Artificial Intelligence
Extensive experience using ETL tools and techniques in a large-scale implementation
Demonstrated ETL experience with the following enterprise platforms: Salesforce, SAP Commerce Cloud, NetSuite, OpSuite, Qualtrics
Expertise in SQL programming skills including complex query design and tuning
Demonstrated expertise in Scripting languages, ex. Python, JavaScript, Windows PowerShell (Python required)
Expertise with third party API data integrations (REST and SOAP)
Cloud-based Warehouse as a Service experience (Snowflake required)
Expertise in the following products & methodologies -, Snowflake, SQL, Informatica, AWS, Azure Blob, GitHub, JIRA, Confluence, Agile
Competency in Office 365 or similar suites including Outlook, PowerPoint Word and Excel
Experience with enterprise business intelligence tools (Looker a plus)
Working knowledge of change control methodologies and tools such as GitHub
Good written and verbal skills needed
REQUIRED EDUCATION AND EXPERIENCE (i.e., degrees, certifications)

DEGREE OR EQUIVALENT EXPERIENCE:

Bachelor’s degree or equivalent experience
Master’s degree in related field is a plus
Minimum Years of Experience:
Minimum of fifteen (15) years’ experience in corporate environment

CERTIFICATIONS REQUIREMENTS:

Snowflake SnowPro Core and SnowPro Data Engineer a plus

ESSENTIAL RESPONSIBILITIES - PRIMARY DUTIES OF THE POSITION

Reasonable accommodation may be made to enable individual

s with disabilities to perform the essential functions.

• Provide strategic direction to design & implement innovative solutions and strategies on modernizing enterprise data architecture technologies (such as, data fabric, Large Language Models (LLMs), and Artificial Intelligence) to meet the needs of the organization.
• Build enterprise data models which incorporate data from disparate enterprise platforms and third-party data enrichment services with democratized access by analysts and business users.
• Work with Technology to develop enterprise data connectivity to drive business goals leveraging API as a Service.
• Collaborate with and provide backup for Sr Data Architect to support and maintain the Enterprise Data Warehouse.
• Work with other team members, including leadership, Project Management, Technical Architects, and Business Analysts to define the best solution, estimate development efforts and ensure accurate requirements fulfillment
• Participate in design and code reviews

Hands-on leadership role focusing on building modern cloud-based data infrastructure and driving best practices in data integration, transformation, and performance across the organization.

• Design, build, and implement scalable data pipelines to efficiently extract and transform high volumes of data.
• Work closely with data architects to integrate data models into data integration processes.
• Provide strategic and innovative direction through
• Work with Technology to develop enterprise data connectivity to drive business goals leveraging API as a Service.
• Collaborate closely with stakeholders to understand business requirements and translate them into effective technical designs to ensure complete delivery of solutions.
• Balance multiple projects of varying difficulty in an Agile framework, assisting in change management and translating business requirements to technical requirements where necessary.
• Adhere to standards and processes to ensure successful operational support required to ensure successful completion of ETL/ELT process.
• Assist with configuration of application software.
• Manage change control process.
• Participate in design and code reviews.
• Document technical requirements and solution