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Affinity Web Development information

What is affinity web development?

Affinity Web Development refers to creating, designing, and maintaining websites using Affinity software products, such as Affinity Designer, Affinity Photo, and Affinity Publisher. These tools are often used by web developers and designers for creating website graphics, UI elements, and layouts due to their powerful design capabilities and affordability compared to other industry-standard software. While Affinity itself is not a coding platform, it plays a significant role in preparing visual assets and prototypes for web development projects. Many professionals combine Affinity tools with coding languages like HTML, CSS, and JavaScript to build fully functional websites.

What is the difference between Affinity Web Development vs Web Designer?

AspectAffinity Web DevelopmentWeb Designer
Primary FocusBuilding and coding websites, backend developmentDesigning website layouts, visual elements
Skills & CertificationsHTML, CSS, JavaScript, backend languages, coding skillsGraphic design, UI/UX principles, Adobe tools
Work EnvironmentDevelopers often work in teams, coding in offices or remotelyDesigners typically work in creative studios or remotely
Industry UsageWeb development agencies, tech companies, freelance projectsMarketing firms, creative agencies, freelance work

Affinity Web Development involves coding and building websites, focusing on functionality and backend integration. Web Designers concentrate on visual design and user experience. Both roles often collaborate but require different skill sets and certifications.

What skills and qualifications are needed to thrive as an affinity web developer?

To thrive as an Affinity Web Developer, you need strong proficiency in HTML, CSS, JavaScript, and web design principles, often supported by a degree in computer science or related field. Familiarity with Affinity design tools (such as Affinity Designer or Affinity Photo), as well as experience with content management systems and version control (like Git), is typically required. Creative problem-solving, effective communication, and attention to detail are valuable soft skills in this role. These skills and qualities are crucial for building visually appealing, functional websites that meet client needs and industry standards.

How does an affinity web developer typically collaborate with designers and other stakeholders during a project?

As an Affinity Web Developer, you will often work closely with UI/UX designers, project managers, and sometimes clients throughout a project's lifecycle. This usually involves participating in planning meetings, sharing progress via collaborative tools, and reviewing design mockups to ensure feasibility and functionality. Regular communication and feedback loops are essential to align technical implementation with design goals and project requirements. Emphasizing teamwork and adaptability will help ensure a smooth workflow and a successful final product.
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Affinity Web Development jobs near you
Infographic showing various Affinity Web Development job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 2% Temporary, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Senior Ontologist - Knowledge Graph & Identity

Samba

San Francisco, CA • On-site, Remote

$144K - $190K/yr

Full-time

Re-posted 6 days ago

Job description

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about - in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it's the most interesting data asset on the planet, because it's the most culturally relevant. 

As Senior Ontologist on Samba TV's Knowledge Graph & Identity team, you will own the design, development, and governance of the semantic data models and ontological frameworks that sit at the foundation of Samba's knowledge graph. You are the domain authority for how Samba represents and relates the entities that matter most to our business - and you ensure that representation is rigorous, scalable, and aligned with industry standards.

This is a hands-on technical role. You will spend the majority of your time designing ontologies, writing SPARQL, building knowledge graph pipelines, and working closely with data engineering and data science peers to put your models into production. You bring enough breadth in ML and AI to leverage embedding-based and LLM-augmented approaches where they strengthen the graph, and you contribute meaningfully to entity resolution and identity linking work that depends on the semantic layer you define.

This role reports to the Data Science Manager, Knowledge Graph & Identity.

What You'll Do:

Ontology Design & Governance

  • Own the end-to-end design, development, and versioning of Samba TV's core ontologies in RDF/RDFS/OWL - defining entity classes, properties, hierarchies, and constraints that accurately model Samba's data domain at scale

  • Author and maintain SHACL shapes for post-load graph validation, consistency checking, and data quality enforcement

  • Define and document derived-attribute schemas - genre affinity, brand affinity, topic affinity, lifecycle signals, and viewing summaries - and own the logical definitions that govern how raw events become durable graph attributes

  • Establish ontology design standards, change management processes, and versioning practices; evaluate alignment with W3C standards and relevant industry schemas (Schema.org, EIDR, DDEX, W3C PROV)

  • Lead ontology design reviews with product, data engineering, and data science stakeholders - articulating trade-offs between expressivity, scalability, and query performance clearly

Event-to-Ontology Derivation

  • Define the aggregation and scoring logic that transforms raw TV viewership and web activity events into the durable affinities, summaries, and inferred signals that live in the graph

  • Co-own derivation pipeline design with data engineering - specifying transformation logic, intermediate schemas, and validation checkpoints for Databricks/Spark pipelines that feed the materialized graph substrate

  • Reason carefully about what belongs in the graph vs. what should remain virtualized in the data lake - balancing query performance against storage and refresh cost

Knowledge Graph Development & AI Integration

  • Build and maintain production-quality knowledge graph pipelines in Python and SPARQL - well-tested, documented, and scalable to Samba's data volumes

  • Design and implement entity resolution and record linkage pipelines that map real-world entities (content titles, devices, audiences, advertisers) to canonical knowledge graph nodes

  • Develop enrichment workflows that integrate third-party data sources (metadata providers, identity vendors, web sources) into Samba's knowledge graph in a consistent, governed way

  • Apply embedding-based and LLM-augmented approaches to ontology mapping, entity disambiguation, and semantic similarity problems

  • Support content and semantic embedding pipelines that feed into the vector store and underpin GraphRAG-based AI solutions

Cross-functional Collaboration & Mentorship

  • Partner with data engineering and platform teams to ensure the knowledge graph is integrated, queryable, and production-ready at scale

  • Collaborate with product to translate business requirements into ontological and graph data model decisions

  • Formally mentor Ontology Engineers and junior data scientists on semantic modeling, SHACL design patterns, and graph best practices

  • Lead internal technical talks and workshops on ontology, knowledge graph, and semantic web topics

Who You Are:

Must-Haves

  • 5-8 years of hands-on experience in ontology engineering, semantic data modeling, or knowledge graph development - with a demonstrable track record of production ontologies at scale

  • Deep expertise in W3C semantic web standards: RDF, RDFS, OWL, SPARQL 1.1, and SHACL - with hands-on experience building and validating graph schemas in a production triplestore (Amazon Neptune, Stardog, GraphDB, Jena, or equivalent)

  • Strong Python - production-quality, well-tested code; comfortable building data pipelines and graph processing workflows

  • First-principles understanding of description logics, ontology design patterns, and the practical trade-offs between OWL expressivity and triplestore scalability

  • Hands-on experience with entity resolution, record linkage, or deduplication at scale - mapping messy, multi-source real-world data to clean ontological representations

  • Bachelor's degree required in Computer Science, Information Science, Computational Linguistics, Mathematics, or a related field; Master's or PhD strongly preferred

  • Strong communicator - able to defend ontological modeling decisions in design reviews and explain trade-offs to non-specialist stakeholders

Strongly Preferred

  • Hands-on experience with Amazon Neptune or Stardog - including data virtualization (Neptune Orion or Stardog Virtual Graphs) over data lake sources

  • Experience designing aggregation and derivation logic that converts raw behavioral event data into durable, graph-resident derived attributes

  • Domain knowledge in media, entertainment, or ad tech - TV viewership (ACR/STB), digital audience modeling (device graphs, identity resolution), or ad exposure data

  • Familiarity with industry content and identity schemas: EIDR, Schema.org VideoObject, DDEX, or equivalent

  • Experience with embedding models, vector databases (Milvus, Pinecone, Weaviate), and GraphRAG architectures (LangChain/LlamaIndex)

  • Familiarity with GNN-based approaches to knowledge graph reasoning or entity resolution a plus

  • Working knowledge of PySpark and Databricks for large-scale transformation pipelines

$180,000 - $230,000 a year
Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.  We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
 
Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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