
Data and AI Architect
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Take charge of the enterprise data and AI platform roadmap and architecture.
• Establish priorities and guide efforts among staff and engineering collaborators.
• Design and uphold dbt models, the semantic layer, and data quality assessments.
• Manage PostgreSQL, focusing on performance, backup and recovery, and monitoring tasks.
• Execute automated, repeatable pipeline deployments utilizing Prefect and GitHub Actions.
• Implement access controls, data protection strategies, encryption, and credential management practices.
• Lead the Data Governance Committee while collaborating with system owners and data stewards.
• Ensure data definitions, standards, and quality are consistently updated.
• Design and operate secure AI integrations.
• Oversee the transition of AI-native applications and automations from prototype to production.
• Act as the technical lead for platform development and become the architectural authority for data and AI applications.
• Undertake additional responsibilities as assigned by management.
• Minimum of 5+ years in data engineering, database administration, data architecture, or a related field.
• Proficient in SQL and practical PostgreSQL database administration, including performance tuning, backup, and recovery.
• Familiarity with dbt or similar transformation tools.
• Experience with orchestration platforms such as Prefect or Airflow.
• Working knowledge of Azure or comparable cloud platforms, including networking and identity management.
• Capability to build and maintain pipelines and automation using Python.
• Proven experience in creating automated deployment pipelines with GitHub Actions or equivalent tools.
• Practical experience with AI and LLM tools, such as AI coding assistants or LLM integrations.
• Hands-on experience with role-based access, encryption, and credential management.
• Ability to lead cross-functional teams and communicate technical decisions to non-technical stakeholders.
• Preferred: Familiarity with Claude Code or MCP servers.
• Preferred: Experience in containerized deployments.
• Preferred: Knowledge of Salesforce, ServiceNow, Paylocity, or Sage Intacct data models.
• Preferred: Experience in leading data governance initiatives.
• Preferred: Background in managed services or IT services.
• Must be able to sit, stand, and bend for the duration of the shift.
• Occasional lifting of up to 50 lbs.
• Must drive to the work site to meet with clients as necessary.
• Commitment to fostering diversity, equity, and inclusion.
• Collaborative work environment.
• Opportunity to spearhead technical initiatives and collaborate with engineering partners.
• Fully remote position available.
• Occasional lifting of up to 50 lbs and driving to client work sites as required.
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