Senior Data Architect (Pre-sales & Solutions)

Location: Remote, United States

Company

hirify.global is a technology consulting company that partners with leading brands to create digital platforms and intelligent digital experiences.

What you will do

• Advise CIO, CTO, CDO, CRO, business, product, and technology stakeholders on Data and AI solutions.
• Lead discovery and translate ambiguous business problems into measurable, production-ready solutions.
• Design end-to-end architectures across data platforms, analytics, machine learning, GenAI, applications, APIs, governance, and integrations.
• Lead forecasting and predictive-modeling work, including regression, feature design, model selection, tuning, validation, and metric definition.
• Shape AI use cases for forecasting, lead scoring, next-best-action, revenue intelligence, personalization, subscription growth, and commercial optimization.
• Lead workshops, proposals, technical solution shaping, executive readouts, and multidisciplinary teams while mentoring clients and delivery teams.

Requirements

• 5+ years of applied forecasting and data-domain experience, including at least two comparable engagements from discovery through production or handover.
• Expertise in multivariable regression, collinearity analysis, VIF interpretation, sparse and zero-inflated data, model validation, data leakage prevention, and point-in-time feature correctness.
• Strong Python, SQL, Git, reproducible analytical workflow, notebook, and Snowflake experience.
• Strong Data Architecture and Solution Architecture capabilities across ingestion, transformation, modeling, security, governance, APIs, cloud, and production operations.
• Deep knowledge of ML, GenAI/LLMs, RAG, AI agents, and enterprise AI patterns.
• Executive communication, client consulting, workshop leadership, commercial judgment, and the ability to explain uncertainty, limitations, and methodology in business language.

Nice to have

• Experience in sports, media, entertainment, streaming, ticketing, subscriptions, sponsorship, advertising, telecom, or commercial and revenue analytics.
• Experience with hierarchical or mixed-effects modeling, ADRs, large-scale categorical encoding, MLOps, governance, and responsible AI.
• Snowflake ML or Model Registry experience.
• 10–12+ years of overall Data, Analytics, AI, Architecture, or related technology experience.

Culture & Benefits

• Full-time employment with medical, dental, vision, disability, life insurance, and AD&D coverage.
• Flexible Spending Accounts and a Health Savings Account paired with a low-cost high-deductible medical plan.
• 401(k) Safe Harbor retirement plan with employer matching and immediate vesting.
• Participation in internal and external video meetings, with the ability to work onsite at corporate or client offices when necessary.
• Inclusive and respectful working environment with reasonable accommodations available during the recruitment process.