We are HALO! We connect people and brands to create unforgettable, meaningful, and lasting experiences that build brand engagement and loyalty for our over 60,000 clients globally, including over 100 of the Fortune 500. Our nearly 2,000 employees and 1,000 Account Executives located in 40+ sales offices across the United States are the reason HALO is #1 in our $25B industry.

Position Overview:

Halo Branded Solutions is seeking a highly skilled and experienced Principal Data Architect to lead the architecture of our data engineering platforms and enterprise data solutions. This role will be pivotal in designing, implementing, and maintaining robust data architectures that support our business objectives and drive data-driven decision-making.

Key Responsibilities:

Work directly with the VP of Data Engineering to help develop enterprise data strategy in collaboration with our business and technology partners.

Data Engineering Platform Architecture:

• Design and oversee the architecture of our data engineering platform, ensuring scalability, reliability, security, and performance.
• Provide architectural guidance for date engineering teams utilizing tools such as Informatica, Apache Airflow, Snowflake, and Tableau. Architect processes, procedures, templates, and best practices to build and manage data pipelines, ETL processes, and Dev Ops/CI/CD solutions.
• Collaborate with data engineers, data scientists, and other stakeholders to ensure seamless integration and optimal performance of data tools and technologies.
• Work with business leaders and cross-functional tech teams on data needs.
• Collaborate with internal business partners to identify solutions and document functional requirements for new processes and existing issues.
• Work directly with teams responsible for shaping how we acquire, collect and leverage data.
• Work with ISO and business owners to manage and monitor security access in compliance with company policies.

Enterprise Data Architecture:

• Lead the architecture of enterprise data solutions, including data platforms, data modeling, and data DevOps.
• Develop and maintain comprehensive data models that support business processes and analytics.
• Implement best practices for data governance, data quality, and data security across the organization.
• Ensure the alignment of data architecture with business goals and IT strategies.

Leadership and Collaboration:

• Provide technical leadership and mentorship to data engineering, data warehouse, and DBA teams.
• Collaborate with cross-functional teams, including IT, business analysts, and product managers, to understand data requirements and deliver effective solutions.
• Stay current with industry trends and emerging technologies to continuously improve data architecture practices.
• Be available for occasional on-call night/weekend support.