
Senior Data & AI Architect, Data and AI Advisory
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in United States.
• Establish target-state data architectures and create scalable data platforms that facilitate analytics and AI.
• Oversee the entire delivery process from discovery, design, development, testing, and validation to deployment, hypercare, and monitoring and observability.
• Develop and construct conceptual, logical, and physical enterprise data models.
• Lead a diverse team comprising data engineers, analysts, and visualization specialists.
• Mentor technical team members while setting architecture, modeling, and engineering standards.
• Simplify complex technical concepts for non-technical clients and stakeholders.
• Establish data quality, governance, lineage, and access foundations tailored for AI use cases.
• Create data pipelines and transformations, write SQL and Python, configure platforms, and conduct code reviews.
• Present architectural recommendations and roadmaps to CIOs, CTOs, private equity deal teams, and client leadership.
• Engage in steering committees throughout project engagements.
• Contribute to company-wide commercial and strategic initiatives, including reusable reference architectures and delivery accelerators.
• 8+ years of experience in data engineering or architecture, with at least 3 years in an architect or technical lead position.
• Profound knowledge in data architecture and modeling, including dimensional, Data Vault, and lakehouse/medallion methodologies.
• Expertise in data governance with the ability to promote adoption among clients.
• Practical experience with contemporary cloud data platforms such as Snowflake, Databricks, Microsoft Fabric, and dbt.
• Familiarity with applied AI use cases, including Retrieval-Augmented Generation (RAG) and agent workflows.
• Proven experience in leading and developing technical teams.
• Proficient in production-grade SQL and Python.
• Experience in building scalable data pipelines.
• A genuine curiosity about AI and sound judgment regarding its applications.
• Eligibility for bonuses.
• Comprehensive health benefits package.
• Medical insurance coverage.
• Dental insurance coverage.
• Paid time off.
• Equity participation linked to the value generated.
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