Pipeline run

e308c1a1-6e19-4232-8068-50ea54c663eb

Pipeline LLM cost (USD)

API 1: $0.0036 API 2: $0.0004 API 3: $0.0000 Total: $0.0040

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description

Nature of work · Architecture / Solution Architecture

Turns business requirements into architecture, process, information, and technology designs; sets standards/roadmaps; and governs framework and infrastructure integration while supporting proposals and project delivery.

""Analyze and translate the business development team’s requirements into architectural designs""

Tech stack maturity

Mainstream Modern

AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)

0.20 / 5

· Title match

✓ Has AI skill

· AI skill (primary)

· AI skill (secondary)

· On AI team

· Builds AI products

vocab breakdown (legacy)

Assistants (×1): —

Frameworks (×2): —

Models / concepts (×3): LLMs, prompt engineering, AI, ML, AI/ML, Generative AI

Evidence — skills matched in JD (11)

Architecture Business Architecture Process Architecture Information Architecture Technology Solutions Frameworks Application Frameworks Infrastructure Integration Roadmaps Blueprints System Design

Skill cluster (1 dimension groups, role-scoped)

Cross-cutting / unaligned

Architecture Business Architecture Process Architecture Information Architecture Technology Solutions Frameworks Application Frameworks Infrastructure Integration Roadmaps Blueprints System Design

Show KRA description ↓

• Responsible for successful project delivery by providing architectural design, solution planning, and feasibility studies for projects to support the strategy of the business development team. • Analyze and translate the business development team’s requirements into architectural designs including business architecture, process architecture, information architecture, and technology solutions. • Define guidelines and standards on future architectural directions and frameworks. • Provide governance for application frameworks and infrastructure integration. • Lead technology changes in architecture development, roadmaps, and blueprints. • Foster good work relationships with all the stakeholders to support business growth. • Support proposal development and solution presentation and lead the delivery. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: • Analyse and identify the linkages and interactions between the component parts of an entire system. • Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. • Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. • Develop skills outside your comfort zone, and encourage others to do the same. • Effectively mentor others. • Use the review of work as an opportunity to deepen the expertise of team members. • Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. • Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Signals

Skill —

—

Alias data-modeler

1.00

KRA cloud-architect

0.56

Post-classification

Centroidupdated · n=2

Alias collision log—

New-role queue—

New skills captured11

New KRA capturedyes

Captured for admin review

Architecture primary ↔ Data Modeler pending

Business Architecture primary ↔ Data Modeler pending

Process Architecture primary ↔ Data Modeler pending

Information Architecture primary ↔ Data Modeler pending

Technology Solutions primary ↔ Data Modeler pending

Frameworks primary ↔ Data Modeler pending

Application Frameworks primary ↔ Data Modeler pending

Infrastructure Integration primary ↔ Data Modeler pending

Roadmaps primary ↔ Data Modeler pending

Blueprints primary ↔ Data Modeler pending

System Design primary ↔ Data Modeler pending

R&R fragment (sim 0.00) ↔ Data Modeler pending

Status: completed Created: 2026-05-27T14:18:36.726187Z Updated: 2026-05-27T14:20:01.803019Z API 3 duration: 4047 ms

Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

Data Modeler

CASE A

slug: data-modeler · id: 150 · source: db

Exact alias hit on data-modeler (1.0) — no other alias at this confidence; skill_top absent does not contradict

Resolution: in_db — role exists in library; skill↔dim and role↔dim links saved when applicable.

New skills

Skill↔dim saved

Role↔dim saved

Skipped

Job description

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Responsibilities

Required Qualifications

• Bachelor's degree in computer science, information technology, or related majors.
• 10+ years of hands-on experience in software development. Demonstrate a strength in enterprise/system architecture design.
• 6+ years’ work experience in designing and implementing enterprise infrastructure and platforms required for cloud computing (e.g., Azure, AWS, GCP). Prefer deep understanding with Azure DevOps, Azure Synapse Analytics, Databricks, Delta Lake and Lakehouse.
• 4+ years’ work experience in defining application architecture frameworks and blueprints for large-scale development efforts.
• Deep understanding of system development in cloud environment, including Software as Service (SaaS), Platform as Service (PaaS), and Infrastructure as a Service (IaaS).
• Advanced experience with Node.js, ReactJS, JavaScript, TypeScript, HTML5, CSS3, SASS, Python, and web service integration.
• Strong understanding of cloud and infrastructure components (e.g., virtual machine, storage, network, database, security, AI/ML, and applications).
• Familiar with different application development methodologies (e.g., Agile/scrum, service-oriented architecture, object-oriented analysis and design, client/server systems, web service concept).
• Familiarity with the application and integration of Generative AI, Prompt Engineering and Large Language Models (LLMs) in enterprise solutions.
• Advanced experience with SQL and relational databases, especially PostgreSQL and Microsoft SQL Server.
• Practical experience in containerized deployment, microservice architecture, and micro-frontend architecture.
• Experience in Nginx, Docker, Redis, Spring Boot and Spring Cloud, Web Service, WebSphere/JBoss/WebLogic.
• Experience in developing single-page applications with Angular2.0 (and above) or React.
• Experience in responsive design and CSS frameworks, such as Material2, Ant Design and Twitter Bootstrap.
• Experience in designing, developing, and optimizing data processing applications using Apache Spark in Databricks. Capable of writing efficient Spark jobs in languages such as Scala, Python, PySpark, Spark SQL.
• Experience in ES6, TypeScript, and Query languages such as GraphQL.
• Excellent time-management, multi-tasking, and communication skills. Capable of juggling multiple projects and related complexities at the same time.
• Demonstrate excellent interpersonal skills, particularly in balancing requirements, managing expectations, collaborating with team members, and driving effective results.
• Proactive attitude, ability to work independently, and a desire to continuously learn new skills and technology.
• Excellent written and verbal communication skills in English.

Additional Or Preferred Qualifications

• Master's degree in computer science, information technology, or related majors.
• 12+ years of hands-on experience in software development. Demonstrate a strength in enterprise/system architecture design.
• 8+ years’ work experience in designing and implementing enterprise infrastructure and platforms required for cloud computing (e.g., Azure, AWS, GCP).
• 6+ years’ work experience in defining application architecture frameworks and blueprints for large-scale development efforts.
• Experience using Azure and either AWS or GCP.
• Experience with data visualization tools such as Power BI or Tableau.

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

Architecture Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)