Overview
On Site
USD 70.00 - 80.00 per hour
Contract - Independent
Skills
DNA
ARM
Analytics
Data Science
Brand
Business Intelligence
ApacheBench
Unstructured Data
ServiceNow
Google Analytics (GA4)
JIRA
Zendesk
Data Quality
Real-time
Data Profiling
Load Balancing
Dashboard
Data Governance
Workflow
Collaboration
Research
Continuous Integration
Continuous Delivery
Snow Flake Schema
Data Engineering
Machine Learning (ML)
Python
SQL
Apache Spark
LangChain
LlamaIndex
Autogen
Vector Databases
Semantic Search
Apache Kafka
Orchestration
Prompt Engineering
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Communication
English
Analytical Skill
Problem Solving
Conflict Resolution
Management
Grafana
Open Source
Artificial Intelligence
Privacy
Marketing
Job Details
Location: Madison, NJ
Salary: $70.00 USD Hourly - $80.00 USD Hourly
Description:
Title : Data Architect: Iv (Lead)
Location : Madison, NJ Remote
Duration : Contract | 3+ Months
Job Description:
Anywhere is at the forefront of driving the digital transformation and building best-in-class products that help our agents and brokers sell more homes, make more money, and work more efficiently.
Data & Analytics (DNA) is Any where's data arm. We create innovative analytics, data science, and robust data foundation capabilities to generate data-driven insights that serve the heart of Anywhere Advisor and Anywhere Brand business. Together with our business counterparts in the real estate business, we work daily to deliver differentiating insights (AI & BI) for Strategy and AA & AB Operations.
We are seeking a Data Platform Engineer with expertise in building Agentic AI systems-where autonomous agents collaborate, make decisions, and act in real time using structured and unstructured data. In this role, you will design, implement, and maintain a data platform that powers intelligent agents with high-performance data ingestion, contextual memory, observability, and LLM integration.
Key Responsibilities
Design and implement scalable data ingestion and transformation pipelines (real-time and batch) to support autonomous AI agents. This includes data from third-party APIs, ServiceNow, Google GA4, JIRA, Zendesk, and other complex systems.
Collaborate on developing Data Quality and Ops Platforms for real-time data anomaly detection and data profiling.
Develop and maintain agent memory architecture (vector stores, knowledge graphs, temporal data stores).
Integrate LLMs (e.g., OpenAI, Claude, Gemini) and agent frameworks (LangChain, AutoGen, CrewAI, MetaGPT).
Build and manage APIs, event buses, or pub/sub systems that enable agent-to-agent communication and coordination.
Optimize platform performance, including data indexing, latency reduction, and load balancing for multi-agent orchestration.
Develop tools and dashboards for platform observability, including agent metrics, prompt lifecycle tracking, and model drift.
Implement security, data governance, and versioning practices in agent workflows and interactions.
Collaborate with AI research, backend, and product teams to ship features powered by multi-modal, memory-augmented agents.
Develop CI/CD processes for continuous delivery in AWS and Snowflake Cloud.
Support and Troubleshoot: Perform production troubleshooting and resolution, focusing on observability to detect issues in advance.
Skills and Qualifications
3+ years of experience in data engineering, ML platforms, or backend systems.
Strong experience with Python, SQL, and modern data frameworks (e.g., Apache Spark, Airflow, dbt, Kafka).
Familiarity with LLM-based agent frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI).
Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and semantic search.
Experience building event-driven architectures (Kafka, Pub/Sub, or similar).
Understanding of LLM orchestration, prompt engineering, and tool-use paradigms.
Experience working with cloud platforms (AWS, Google Cloud Platform, or Azure).
Communication Skills: Excellent written and verbal communication skills in English.
Problem Solving Skills: Strong analytical & problem-solving skills to identify data issues and performance bottlenecks.
Preferred Qualifications
Prior work in multi-agent systems or agent-based simulations.
Experience with data-centric AI pipelines, RAG (retrieval-augmented generation), or knowledge graphs.
Familiarity with LangGraph, DSPy, or other agent state management tools.
Exposure to observability tools (e.g., DataDog, Prometheus, Grafana, OpenTelemetry).
Open-source contributions in agent ecosystems or AI infrastructure.
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
Salary: $70.00 USD Hourly - $80.00 USD Hourly
Description:
Title : Data Architect: Iv (Lead)
Location : Madison, NJ Remote
Duration : Contract | 3+ Months
Job Description:
Anywhere is at the forefront of driving the digital transformation and building best-in-class products that help our agents and brokers sell more homes, make more money, and work more efficiently.
Data & Analytics (DNA) is Any where's data arm. We create innovative analytics, data science, and robust data foundation capabilities to generate data-driven insights that serve the heart of Anywhere Advisor and Anywhere Brand business. Together with our business counterparts in the real estate business, we work daily to deliver differentiating insights (AI & BI) for Strategy and AA & AB Operations.
We are seeking a Data Platform Engineer with expertise in building Agentic AI systems-where autonomous agents collaborate, make decisions, and act in real time using structured and unstructured data. In this role, you will design, implement, and maintain a data platform that powers intelligent agents with high-performance data ingestion, contextual memory, observability, and LLM integration.
Key Responsibilities
Design and implement scalable data ingestion and transformation pipelines (real-time and batch) to support autonomous AI agents. This includes data from third-party APIs, ServiceNow, Google GA4, JIRA, Zendesk, and other complex systems.
Collaborate on developing Data Quality and Ops Platforms for real-time data anomaly detection and data profiling.
Develop and maintain agent memory architecture (vector stores, knowledge graphs, temporal data stores).
Integrate LLMs (e.g., OpenAI, Claude, Gemini) and agent frameworks (LangChain, AutoGen, CrewAI, MetaGPT).
Build and manage APIs, event buses, or pub/sub systems that enable agent-to-agent communication and coordination.
Optimize platform performance, including data indexing, latency reduction, and load balancing for multi-agent orchestration.
Develop tools and dashboards for platform observability, including agent metrics, prompt lifecycle tracking, and model drift.
Implement security, data governance, and versioning practices in agent workflows and interactions.
Collaborate with AI research, backend, and product teams to ship features powered by multi-modal, memory-augmented agents.
Develop CI/CD processes for continuous delivery in AWS and Snowflake Cloud.
Support and Troubleshoot: Perform production troubleshooting and resolution, focusing on observability to detect issues in advance.
Skills and Qualifications
3+ years of experience in data engineering, ML platforms, or backend systems.
Strong experience with Python, SQL, and modern data frameworks (e.g., Apache Spark, Airflow, dbt, Kafka).
Familiarity with LLM-based agent frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI).
Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and semantic search.
Experience building event-driven architectures (Kafka, Pub/Sub, or similar).
Understanding of LLM orchestration, prompt engineering, and tool-use paradigms.
Experience working with cloud platforms (AWS, Google Cloud Platform, or Azure).
Communication Skills: Excellent written and verbal communication skills in English.
Problem Solving Skills: Strong analytical & problem-solving skills to identify data issues and performance bottlenecks.
Preferred Qualifications
Prior work in multi-agent systems or agent-based simulations.
Experience with data-centric AI pipelines, RAG (retrieval-augmented generation), or knowledge graphs.
Familiarity with LangGraph, DSPy, or other agent state management tools.
Exposure to observability tools (e.g., DataDog, Prometheus, Grafana, OpenTelemetry).
Open-source contributions in agent ecosystems or AI infrastructure.
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.