Data & Ai Architect

• Strong experience in enterprise data architecture, data engineering, BI, and analytics platforms.
• Hands-on experience designing and implementing modern data warehouses, data lakes/lake houses, and
• ETL/ELT pipelines.
• Experience with modern data platforms such as Databricks, Single Store, Snowflake, Oracle, and/or Vertica.
• Strong knowledge of data integration across cloud platforms, databases, APIs, and enterprise applications.
• Experience with data modeling, data governance, data lineage, data quality, and observability frameworks.
• Strong understanding of ETL/data pipeline management and scripting/automation.
• Experience supporting enterprise reporting, analytics, CRM, AI, and operational platforms.
• Hands-on knowledge of AI model development and integrating AI/ML capabilities with enterprise data platforms.
• Experience with Lang Chain and/or Llama Index for building enterprise AI/GenAI solutions.
• Experience with Vector Databases, including vector search, embeddings, and retrieval-based AI solutions.
• Understanding of RAG (Retrieval-Augmented Generation) architecture and integration of structured and
• unstructured enterprise data with AI applications.
• Understanding of cloud architecture, security, resiliency, performance, regulatory compliance, and IT
• governance.
• Strong communication and organizational skills with the ability to work with business, architecture, engineering, and technology teams.
• Salary Range: $100,000-$140,000 a year

• Architect and design scalable enterprise data, BI, analytics, and AI platforms.
• Design and implement modern data warehouses, lakehouse architectures, and scalable ETL/ELT data pipelines.
• Lead data integration initiatives involving cloud platforms, databases, APIs, and enterprise applications.
• Define enterprise data models, architecture standards, and best practices for platforms such as Databricks, Single Store, Snowflake, Oracle, and Vertica.
• Establish and enhance data governance, lineage, observability, and data-quality frameworks to create trusted and reusable enterprise data assets.
• Design data architectures supporting reporting, analytics, CRM, AI/ML, GenAI, and operational use cases.
• Develop and integrate AI-driven solutions using AI models, Lang Chain/Llama Index, vector databases, embeddings, and RAG architectures.
• Partner with business and technology teams to translate functional requirements into scalable technical and data solutions.
• Drive cloud and data platform modernization initiatives with a focus on scalability, performance, resiliency, security, and compliance.
• Provide technical leadership and architectural guidance across data architecture, ETL design, data onboarding, AI integration, and platform engineering.
• Define reusable architecture patterns and ensure solutions align with enterprise architecture and IT governance standards

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Jersey City, NJ

TECHNOLOGY

Developer

437906

Artificial Intelligence

$100,000 - $140,000

Qualifications

BACHELOR OF COMPUTER SCIENCE