Lead Data Architecture Designer

Virtual Agent • Tampa, FL

351d • $130,800 - $170,000 • Remote

About The Position

The Lead Data Architecture Designer is responsible for designing, implementing, and managing the organization's data architecture. The role plays a critical role in migrating legacy systems to a modern technology stack, ensuring data integrity, security, and accessibility. The role works closely with cross-functional teams to understand business requirements and translate them into scalable and efficient data solutions. The role reports to the Director of Enterprise Data Architecture.

Requirements

• Bachelor's degree in computer science, IT, or related field.
• 5 years' experience as a data solutions architect, or related role.
• Data modeling, ETL processes, and data warehousing.
• Azure Data Factory, Azure Databricks, SQL Server and PowerBI.
• Databricks solution development including Delta Live Tables in near-real time use cases.
• Certification in Databricks, Azure, or related.
• Skills - legacy SQL server-based systems, problem-solving, attention to detail, communication, and collaboration.
• Ability to professionally communicate fluently in verbal and written English.
• Ability to support a diverse and inclusive work environment.

Nice To Haves

• Any advanced degree or equivalent experience, especially in computer science, IT, or a related field.
• Strong or advanced proficiency in any of the above required skills/experience.
• Proficient in MS Office (Word, Excel, PowerPoint) and other business tools such as Microsoft Teams.
• Experience with cloud platforms and big data technologies.
• Knowledge of governance and compliance standards.
• Experience with educational data systems.

Responsibilities

• Lead Data Architecture Design and Implementation: Oversee data modeling, ETL processes, and data warehousing.
• Migrate Legacy Systems: Transition from SQL Server-based data pipelines to Azure Data Factory, Azure Databricks, and Power BI.
• Develop Data Integration Solutions: Create workflows and pipelines using Azure Data Factory and Databricks.
• Support Advanced Analytics: Design and implement data solutions for business intelligence and advanced analytics.
• Ensure Data Quality and Security: Collaborate with the data governance team to maintain data quality, consistency, and security.
• Collaborate with Stakeholders: Understand and meet data requirements of business stakeholders.
• Optimize Data Processes: Work with the data engineering team to enhance data processing, storage, and retrieval for better performance and scalability.
• Provide Technical Leadership: Offer guidance and mentorship to the data team.
• Perform other duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Administrative and Support Services
• Education Level: Bachelor's degree