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. Our nearly 2,000 employees and 1,000 Account Executives located in 40+ sales offices across the United States are the reason HALO is the global leader in branded merchandise, uniform programs, and recognition and incentive solutions.
HALO is looking for an Enterprise Data Architect (Data, Analytics & AI) to shape our enterprise data architecture and modern data platform, enabling trusted analytics and responsible AI at scale. You’ll partner with business and technology leaders to frame problems, define outcomes, and deliver data products, semantic definitions, and AI/agentic solutions that drive measurable value.
About the Role
Reporting to the VP of Data & Analytics, you will lead the design and evolution of enterprise data architecture and the data engineering platform, covering data modeling, integrations, governance, and analytics enablement. A core expectation is the ability to deeply understand the business problems to be solved (the “why”), translate them into clear data/analytics requirements (the “what”), and guide implementation patterns and standards (the “how”).
You’ll bring strong Snowflake and data warehousing expertise plus applied knowledge of modern AI (LLMs) and agentic systems. You will evaluate where AI can responsibly improve analytics and automation, lead POCs/pilots, and recommend scalable solutions. This role is highly cross-functional and requires clear communication with both technical and non-technical stakeholders.
What You’ll Do
- Partner with the VP of Data & Analytics to shape enterprise data strategy with business and technology leaders, including problem framing, value hypotheses, and measurable outcomes.
- Enterprise Data Architecture
- Lead architecture for enterprise data solutions, including data modeling, enterprise analytics, integrations, and data DevOps.
- Develop and maintain data models that reflect business processes and enable reporting, self-service analytics, and AI use cases.
- Establish and promote best practices for data governance, data quality, and data security across the organization.
- Align data architecture to business goals and Technology strategy by partnering with stakeholders to understand business processes, pain points, and the decisions the data must support.
- Enterprise Data Warehousing (Snowflake)
- Design and implement a medallion architecture in Snowflake (Bronze, Silver, Gold, and semantic layers) to support enterprise analytics and AI.
- Define and maintain business questions, KPIs, and semantic definitions so the semantic layer is trusted, consistent, and usable for analytics and AI applications.
- Partner with business and technical stakeholders across key systems (OMS, ERP, CRM, transactional databases) to understand use cases and design data products that support them.
- Ensure data is cleansed, transformed, and documented for reliable analytical and AI consumption.
- Create and maintain architecture diagrams, data dictionaries, data flow documentation, and implementation plans.
- Apply best practices in data warehousing, data modeling, and performance optimization.
- Provide guidance on data governance, quality, and security standards.
AI & Agentic Systems (Applied to Data & Analytics)
- Research and stay current on AI/LLM and agentic system capabilities, architectures, and tooling; identify opportunities to apply them to data engineering, analytics, and operational workflows.
- Evaluate AI options (build vs. buy) including vendor/platform features, integration patterns, cost, scalability, latency, and security/compliance considerations.
- Design and execute POCs and pilots with clear success criteria (e.g., accuracy, usability, time-to-value, risk), and document findings and recommendations.
- Architect AI-ready data foundations (semantic layer, metadata, governance, quality) and patterns such as retrieval-augmented generation (RAG) where appropriate.
- Partner with Security, Legal, and IT to ensure responsible use of AI, including data privacy, access controls, model risk considerations, and auditability.
- Data Engineering Platform Architecture
- Design and oversee the architecture of the data engineering platform, ensuring scalability, reliability, security, and performance.
- Provide architectural guidance for data engineering teams using tools such as Apache Airflow, Snowflake, dbt, OpenFlow, n8n, Postgres, and Tableau; define standards and best practices for pipelines, ELT/ETL, and CI/CD.
- Partner with business leaders and cross-functional technology teams to understand business problems, constraints, and decision points driving data needs.
- Elicit and document functional requirements, including problem statements, scope boundaries, assumptions, and success criteria (KPIs), for new capabilities and existing issues.
- Partner with teams responsible for acquiring, collecting, and leveraging data across the enterprise.
- Support data access management in partnership with data owners, ensuring compliance with company policies.
- Translate successful AI/agentic POCs into production-ready patterns, including architecture, data requirements, governance, and operational processes.
How You’ll Partner & Lead
- Provide technical leadership and mentorship to data engineering, data warehousing, and analytics teams.
- Collaborate with IT, business analysts, and product partners to discover and define business problems, translate them into data requirements, and deliver solutions with clear business value.
- Stay current with industry trends and emerging technologies to continuously improve data architecture and AI enablement.
- Participate in occasional after-hours support as needed (nights/weekends).
What You’ll Bring
- Proven experience as an enterprise data architect (or equivalent) with a strong focus on Snowflake.
- Strong proficiency in SQL.
- Deep understanding of data warehousing concepts, dimensional and relational modeling, and ELT/ETL pipelines.
- Experience working with OMS, ERP, CRM, and other transactional systems.
- Strong business acumen and the ability to lead discovery with stakeholders, frame problems, identify root causes, and define measurable outcomes for data and analytics solutions.
- Applied knowledge of modern AI (LLMs) and agentic systems, including how to integrate them with data platforms and analytics use cases.
- Demonstrated ability to evaluate AI/vendor options, design experiments, execute POCs, and communicate recommendations (tradeoffs, risks, cost, and expected value).
- Excellent communication skills with the ability to influence and align technical and business stakeholders.
- Ability to create clear architecture diagrams, documentation, and delivery plans.
- Familiarity with data governance, metadata management, and data quality frameworks.
- Experience with master data management (MDM) tools and approaches.
Nice to Have
- Experience with AWS.
- Python (or similar) scripting experience.
- Experience with LLM application patterns (e.g., RAG), prompt engineering, evaluation/testing, and basic LLMOps/MLOps practices.
- Familiarity with integration and orchestration tools such as OpenFlow, Airflow, and n8n (or similar).
- Experience supporting compliance needs (e.g., GDPR, CCPA).
- Experience with Jira and agile delivery practices.
Compensation: The estimated base salary range for this position is between $150,000 and $190,000 annually. Please note that this pay range serves as a general guideline and reflects a broad spectrum of labor markets across the US. While it is uncommon for candidates to be hired at or near the top of the range, compensation decisions are influenced by various factors. At HALO, these include, but are not limited to, the scope and responsibilities of the role, the candidate's work experience, location, education and training, key skills, internal equity, external market data, and broader market and business considerations.
Benefits: At HALO, we offer benefits that support all aspects of your life, helping you find a work-life balance that’s right for you. Our comprehensive benefits include nationwide coverage for Medical, Dental, Vision, Life, and Disability insurance, along with additional Voluntary Benefits. Prepare for your financial future with our 401(k) Retirement Savings Plan, Health Savings Accounts (HSA), and Flexible Spending Accounts (FSA).
Application Information: To apply to this opportunity, click the APPLY button at the top right or very bottom of the screen to complete our online application. A resume is optional, so you may choose to upload and have the application prefill with your information. There are 5 sections to complete in total, including General information, Work History, Education, Compliance, and optional demographic questions. Once you have successfully submitted your application, you will receive a submission confirmation email from our system.
Application Deadline: Applications are reviewed and processed only when there is a specific need or opportunity, rather than on a fixed schedule or at a set deadline. Because they are reviewed on an as-needed basis, a job posting will be removed once the position has been filled or is no longer available.
More about HALO
- At HALO, we unleash the energy of our client's brands and amplify their stories to capture the attention of those who matter most. For that reason, more than 60,000 small- and mid-sized businesses work with HALO and have made us the global leader of the branded merchandise industry.
- Career Advancement: At HALO, we love promoting from within. Internal promotions have been the key to our exponential growth in the last few years. With so many industry leaders at HALO, you'll have the opportunity to accelerate your career by learning from their experience, insights, and skills and gain access to HALO's influential global network, leadership experiences, and diverse thinking.
- Culture: We love working here and know that you will too. You can expect a positive culture of ingenuity, inclusion, and relentless determination. We push the limits of possibilities and imagination by staying curious, humble, and provocative in order to break through yesterday's limit. Diversity is the source of our creativity, and we thrive when each of us contributes to an inclusive culture of respect, dignity, and equity mindset in everything we do. We keep our promise for excellence with an unrelenting commitment to achieving results and supporting one another to stay accountable, transparent, and dependable.
- Recognition: You're going to succeed here, and you can count on us to celebrate your wins. Colleagues across the company will join in recognizing your big milestones and nominate you for awards. Over time, you'll earn so much recognition that you can convert into gift cards, trips, concerts, and merchandise at your favorite brands.
- Flexibility: We pride ourselves on flexible schedules that help you find a balance between professional and personal demands. We believe that supporting our customers is the priority and trust that you and your manager will find a schedule to achieve that priority.
HALO is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We insist on an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Inclusion is a core value at HALO, and we seek to recruit, develop and retain the most talented people.
HALO participates in E-Verify. Please see the following notices in English and Spanish for important information: E-Verify Participation and Right to Work.
HALO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at hr@halo.com. Please do not use this as an alternative method for general inquiries or status on applications as you will not receive a response. Reasonable requests will be reviewed and responded to on a case-by-case basis.
