# Principal AI Data Platform Architect ## Company Overview We are a fast-growing AI-native firm working with executives, operators, private-markets investors, and enterprise teams to redesign how mission-critical work gets done with AI. We move quickly, care deeply about execution quality, and build practical systems where data, workflows, and AI agents come together in production. Our work often sits inside complex enterprise environments with sensitive private data, messy documents, high-stakes decisions, and strict access controls. We are not building generic dashboards or chatbots. We are building governed operating systems that help people answer important business questions faster, with source trails and permission boundaries intact. ## Opportunity We are looking for a principal-level Data Platform Architect to design and build the governed data spine behind AI-native operating systems for private-markets and enterprise environments. This role is for a senior, hands-on builder who can architect the foundation and ship production-grade systems: ingestion, lakehouse layers, canonical entities, lineage, quality checks, permissions, semantic models, and serving APIs. Outstanding performers may be considered for expanded or longer-term opportunities, including deeper platform ownership. ## Scope of Work - Architect a lakehouse-style data platform across structured and unstructured enterprise sources. - Build ingestion pipelines from SharePoint, Microsoft 365, CRM systems, document repositories, spreadsheets, and financial or operational data feeds. - Design Bronze/Silver/Gold data layers with replayability, lineage, quality checks, and point-in-time correctness. - Create canonical entity models for companies, people, deals, documents, metrics, funds, assets, and relationships. - Implement role-based and attribute-level access controls at the data layer, not just the UI. - Build semantic models and APIs that downstream AI workflows can safely query. - Partner with AI engineers building RAG, extraction agents, and executive command surfaces. - Document architecture, tradeoffs, operating standards, and handoff paths clearly. ## Must-Haves - Expert Python, SQL, and modern data engineering. - Deep experience with Databricks, Snowflake, or comparable lakehouse/data-platform architecture. - Hands-on experience with dbt or comparable transformation frameworks. - Experience building governed enterprise data systems with lineage, quality tests, CI/CD, and observability. - Familiarity with Microsoft Graph, SharePoint, Microsoft 365, or similar enterprise content ingestion. - Experience with entity resolution, master data management, semantic layers, or canonical data modeling. - Strong judgment around sensitive data, access controls, auditability, and reliability. - Ability to personally architect and ship production systems, not just advise. ## Nice-to-Haves - Private equity, private markets, financial services, investment workflows, or enterprise knowledge-management data experience. - Experience with DealCloud, HubSpot, PitchBook, AlphaSense, S&P, fund admin feeds, or similar business-data sources. - Experience with graph databases, vector databases, or RAG-ready data architecture. - Azure, Entra ID, RBAC, row-level security, or regulated-data environments. - Experience turning a client-specific data platform into reusable product infrastructure. ## What We're Looking For in a Person We are looking for a serious enterprise data architect who cares about correctness, lineage, permissions, and reliability. The right person has built real systems with messy data and real users. They know that the hard part is not making a demo work; it is making the data trustworthy, traceable, secure, and useful every day. This person should be senior enough to challenge the architecture, hands-on enough to ship, and clear enough to explain technical tradeoffs to non-technical operators. ## Category **Data Science & Analytics - Data Engineering** ## Screening Questions 1. Describe a governed data platform, lakehouse, or enterprise data architecture you personally designed or built. What were the sources, layers, and serving use cases? 2. What is your hands-on experience with Databricks, Snowflake, Delta Lake, Iceberg, or comparable platforms? 3. Have you built entity-resolution, master-data, or canonical data-model systems? Describe the matching approach and human-review process. --- ## Skills - Data Engineering - Data Architecture - Databricks - Snowflake - SQL - Python - dbt - ETL Pipeline - Data Lake - Microsoft Azure - API Integration - Data Modeling - Data Warehousing - Lakehouse Architecture - Microsoft Graph - SharePoint Integration - Entity Resolution - Master Data Management - Semantic Layer - Data Lineage - RBAC - Private Equity Data

I'm an experienced filmmaker, directing a full-length AI horror movie. I need a sharp operator who can run the tools like Seedance 2 etc, and operate the platforms of AI filmmaking like Higgsfield. - The movie is currently in production. Could be a great opportunity for a motivated person.

Create an outbound sales system for Real Estate. Should include both lead generation, ai voice calls, sms and email follow ups

EroFlow Intelligence is an enterprise-grade, autonomous AI orchestration pipeline designed to mitigate global supply chain disruptions for aerospace manufacturing. Built using a multi-agent framework, the system automates the entire lifecycle of risk detection, impact analysis, and procurement mitigation without requiring human intervention for standard operational anomalies. The architecture coordinates three specialized, asynchronous AI agents that communicate via a centralized event bus to solve complex logistical bottlenecks in real-time. Core Agent Architecture & Workflow 1. The Sentinel Agent (Data Ingestion & Extraction) Role: Continuous Global Monitoring. Function: Utilizes advanced LLM-driven web scraping and unstructured data extraction to monitor global news feeds, geopolitical shifts, weather anomalies, and shipping port telemetry. Trigger: If it detects a disruption (e.g., a port strike or critical mineral shortage), it extracts key entities (materials affected, estimated delay times) and passes a structured JSON payload to the orchestration layer. 2. The Impact Assessment Agent (Predictive Modeling) Role: Deep Cross-Referencing & Analytics. Function: Upon receiving a trigger, this agent cross-references the disrupted material with the company’s internal ERP (Enterprise Resource Planning) database and current inventory levels. Output: It runs a predictive analysis to determine exactly which production lines will stall and calculates the financial risk, assigning a high/medium/low priority score to the event. 3. The Mitigation & Logistics Agent (Autonomous Execution) Role: Operational Resolution. Function: If the risk score exceeds a specific threshold, this agent is authorized to take action. It autonomously queries pre-vetted alternative suppliers via APIs, negotiates standard volume pricing based on historical contract data, drafts a comprehensive procurement proposal, and queues the purchase order for final human sign-off (or executes it automatically if under a certain dollar cap). Technical Stack (The Blueprint) Frameworks: LangGraph / CrewAI (for multi-agent state management and deterministic routing). Core Language: Python 3.11+ Data Layer: PostgreSQL (for ERP syncing) & Pinecone / Qdrant (Vector database for storing and querying supplier contract PDFs and historical compliance documentation). LLM Orchestration: OpenAI GPT-4o / Anthropic Claude 3.5 Sonnet utilized via structured outputs (Pydantic parsing) to ensure strict API data integrity. Hosting & DevOps: Containerized via Docker, orchestrated via Kubernetes, and deployed on AWS with asynchronous task queues managed by Celery and Redis. Quantifiable Business Results (The Hook) 92% Reduction in supply chain anomaly response time (from 48 hours down to 14 minutes). Automated Recovery: Successfully mitigated over 140 potential production line stalls autonomously in simulated stress tests. Cost Efficiency: Saved an estimated $1.2M in expedited shipping fees by predicting bottlenecks 10 days before they impacted manufacturing floors.

We are seeking a skilled freelancer with experience in Apollo.ai to assist with our project. The ideal candidate will have a strong understanding of Apollo.ai and be able to effectively integrate it into our systems. This role requires attention to detail and the ability to work independently. If you have a passion for AI and a proven track record with Apollo.ai, we would love to hear from you.

We are seeking a consultant to enhance our AI-driven graphic user interface. The ideal candidate will have experience in user interface design and graphic design, with a strong understanding of AI integration. Responsibilities include analyzing current UI/UX, providing recommendations for improvement, and collaborating with our team to implement changes. The goal is to create a seamless and intuitive user experience.

We are seeking an experienced curriculum developer to create an engaging and comprehensive curriculum focused on teaching students about ethical AI principles. The curriculum should cover key topics such as fairness, accountability, and transparency in AI systems. The ideal candidate will have a strong background in AI, education, and ethics, and be able to design interactive lesson plans that foster critical thinking. Ideally, we would want to hire an active high school teacher for this position, and would be able to provide additional payment for in-class testing. The required deliverables include the following: - A module aimed at high school students introducing the foundations of responsible AI usage. These should be able to be taken in a single one-hour class. - Modules aimed at high schoolers allowing them to earn "advanced ai permissions" by teaching them how to use it on homework. This is about ten hours of instructional material/exercises. There should be hands on exercises teaching them about citations, fact-finding, and collaboration rather than reliance on AI. - A teacher targeted module, about 30 minutes teaching them about options for incorporating AI literacy into their classroom.

We're seeking a skilled Full Stack Developer to join our team. You'll debug and resolve errors within our applications, support improvements, troubleshoot issues, and integrate our apps with our CRM system. Just as important: you'll help keep our GHL-based AI agent and voice AI systems running smoothly for live clients. Read the whole post before applying. We've written it to be direct on purpose. If any of it doesn't sound like you, that's okay , please self-select out. We'd rather know now. What we're looking for We need a contributor, not just a doer. That means someone who takes initiative, spots issues before they become problems for the client, and drives toward solutions instead of waiting to be told what to do next. If you're the type who finds the answer rather than asking us for it, you'll do well here. If you need your hand held on every step, this isn't the right fit. We work with live clients on voice AI and AI agents, so being proactive and responsive is not optional. When something breaks or drifts, we need you evaluating, fixing, and improving it, thinking forward about the end-user experience, not just reacting after a client complains. Responsibilities • Debug and provide solutions for errors in web and mobile applications.. • Support ongoing improvements and optimizations.. • Troubleshoot technical issues efficiently, ideally before they reach the client.. • Integrate applications with our CRM system (GoHighLevel / GHL) for seamless functionality.. • Connect systems and third-party services via APIs to enhance platform capabilities.. • Support, adjust, and maintain GHL AI agents and voice AI workflows so they perform reliably for clients.. Requirements • Proven experience as a Full Stack Developer.. • Strong proficiency in front-end and back-end technologies (e.g., JavaScript, React, Node.js, Python, etc.).. • Experience with GHL CRM integrations.. • Working knowledge of and comfort with GHL AI agents and automations — you don't need to be a specialist, but you should be able to get in, understand how they're built, make adjustments, and pick things up quickly.. • Familiarity with or genuine willingness to dig into voice AI. We expect everyone on the team to be able to work with it.. • Proficiency in designing and implementing REST-based API connections.. • Excellent problem-solving and debugging skills.. • Ability to work independently, take initiative, and meet deadlines.. How we work • We're engaging you — not your agency. The person we hire is the person doing the work. If you subcontract or hand work to others, this isn't a fit.. • Short leash, high trust. Everyone starts on a trial basis. We give people room to learn, but you'll need to learn fast, dive in, and prove it quickly. If you're trying to learn the fundamentals on the job, this role isn't for you.. • Own your outcomes. Bring the thinking, not just the hands. Recognize what the end user's experience will be and drive it.. If that sounds like the environment you want, we'd love to hear from you.

We are seeking a skilled freelancer to automate the process of converting Excel bank statements into Google or excel Sheets. The task involves the AI extracts and classifies the expenses by category and send clean data to a google sheet or excel to automatically build a P&L and balance sheets . The ideal candidate should have experience in data processing and financial analysis, ensuring accuracy and attention to detail. This is a part-time project with a short duration, expected to be completed in less than a month.

e’re looking for a Technical Marketing Lead to work directly with the founder to execute, optimize, and scale growth initiatives. This is a hands-on execution role for someone who combines strong marketing expertise with technical capabilities. You should be comfortable using Claude, Claude Code, Cursor, Codex, ChatGPT, MCPs, AI agents, HubSpot, Google Ads, SEO tools, social media platforms, and marketing automation systems to execute campaigns at scale. We have already built a strong AI-powered operating system for marketing execution. Through Claude Code, Claude Code SDK, MCPs, connectors, automations, and integrated marketing tools, many workflows can be executed, automated, and optimized directly from AI-driven systems. We’re looking for an executor, not a strategist or consultant. You are a marketer first, but highly technical. You are a daily user of Claude, Claude Code, Cursor, Codex, ChatGPT, or similar AI tools. You understand modern growth marketing and are comfortable using APIs, AI agents, MCPs, automations, and integrations to execute faster than traditional marketing teams. You should have hands-on experience with: * HubSpot CRM and strong email marketing experience. * SEO and content marketing * PPC campaigns (Google Ads, Bing Ads, Meta Ads, LinkedIn Ads) * Social media growth and distribution * Marketing automation and lead nurturing * Analytics, reporting, and performance optimization Basic coding skills (JavaScript, HTML/CSS, scripting, automations) is preferred