> Markdown version of [/jobs/ext/2298208-data-architect-engineer](https://www.wearedevelopers.com/jobs/ext/2298208-data-architect-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect / Engineer - **Company:** Appnovation Technologies - **Location:** Miami, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Cloud Computing, Cloud Database, Software Quality, Cyber Security, Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Structures, Database Queries, Software Design Documents, Document-Oriented Databases, Enterprise Content Management, Graph Database, Mobile Application Software, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft Software, Neo4j, Systems Development Life Cycle, Microsoft SharePoint, Software Engineering, SQL Databases, Web Applications, Workflow Management Systems, Privacy Controls, Scripting, Data Ingestion, Microsoft Power Automate, Large Language Models, Backend, Knowledge Representation, Information Technology, Data Management, Data Pipelines - **Published:** August 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-architect-engineer-miami-fl--c9de93a5-8ba0-4564-bdd7-74aaaecf8143 ## About the Role * Bachelor's Degree in Computer Science or a related field. * 5+ years of experience in data engineering / architecture roles. * Deep data modeling across relational and graph paradigms; graph databases (Neo4j) and Postgres/Supabase at scale. * Strong ETL / data pipeline engineering in Python, including large-scale, incremental, and change-data ingestion. * Experience with enterprise content ecosystems: SharePoint, ideally Power Platform / Power Automate. * Knowledge representation, taxonomies/ontologies, and versioned/temporal data. * Understanding of how data structures feed RAG and LLM retrieval quality. * SQL proficiency; experience with orchestration tools (e.g., Airflow) and cloud data services. * Familiarity with data governance, security, and privacy practices. * Strong documentation and cross-team communication skills. WHO YOU ARE * You think about how to scale, automate and operate, not just how to build a solution to an immediate problem * You understand lean thinking * You set high standards for code quality, performance/scalability and security and seek continuous improvement * You have solid analytical, problem solving and decision-making skills * You have customer first mindset and a devotion to customer service * You engage and build positive internal and external client relationships, while managing multiple initiatives, often with competing priorities * You have strong self-initiative, passion, interpersonal, oral and written communication and collaboration skills with the ability to work, influence and make an impact in a cross-functional environment with all levels of the organization * You are responsive and thrive in a fast-paced diverse high-performance environment with rapidly changing business needs * You actively seek out things outside your comfort zone with the ability to rapidly learn and take advantage of new concepts, business models, and technologies * You have prior experience in consulting * Prior experience and connections in the Life Sciences industry is preferred, Analysis Skills, Architectural Services, Best Practices, Biology, Business Model, Channel Strategies, Cloud Computing, Communication Skills, Computer Science, Consulting, Content Management, Continuous Improvement, Cost Control, Cross-Functional, Customer Experience, Customer Relationship Management (CRM), Customer Support/Service, Data Management, Data Modeling, Data Quality, Data Structures, DataArchitect Data Modeling Tool, Database Extract Transform and Load (ETL), Design Document, Diversity, Documentation, Documentation Models, Ecosystems, Error Handling, Graph Database Data Format, Information/Data Security (InfoSec), Internet Application, Interpersonal Skills, Knowledge Modeling, Knowledge Representation, Machine Learning, Microsoft Product Family, Microsoft SharePoint, Mobile Applications, Neo4j, Ontology, PostgreSQL, Presentation/Verbal Skills, Privacy Controls, Problem Solving Skills, Python Programming/Scripting Language, Quality Assurance, SQL (Structured Query Language), Software Development Lifecycle (SDLC), Software Engineering, Taxonomies, Team Player, Technical/Engineering Design, Writing Skills ## Description * Define the schema, taxonomy, and graph modeling for the knowledge domains. * Design how documents, versions, and their machine-readable representations are structured, and how facts evolve over time (including temporal replay). * Build ingestion/ETL pipelines from enterprise content sources (e.g., SharePoint and the wider Microsoft stack), handling multimodal content (presentations, documents, transcripts). * Keep the knowledge graph in sync as source documents change frequently. * Advise on whether the current backend approach (Supabase/Postgres) is the right long-term architecture, and validate ingested content quality with QA. * Establish data quality, lineage, and governance standards across pipelines. * Build monitoring, alerting, and error-handling for ingestion jobs. * Document data models, schemas, and pipeline architecture. * Optimize pipeline cost, throughput, and reliability over time. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)