Senior Data Architect - Knowledge Engineering

Reposted 2 Days Ago
Be an Early Applicant
5 Locations
In-Office or Remote
Senior level
Information Technology
The Role
Lead the architecture and delivery of knowledge graph, semantic, AI, and data engineering solutions for clients. Design ontologies, graph data models, cloud architectures, pipelines, and graph-based machine learning applications. Guide technical direction, establish engineering standards, lead teams, support pre-sales, develop client relationships, and provide thought leadership on emerging technologies, risks, and business applications.
Summary Generated by Built In

Accenture, recognized as a Great Place To Work®, is a leading global professional services company that helps major businesses, public administrations, and other organizations around the world develop their digital core, optimize their operations, accelerate revenue growth, and improve services for citizens, creating tangible value at speed and scale.

We are looking for experienced Knowledge Graph Engineers to join our Data & AI practice in Spain.
This role is available in Seville, Málaga, Alicante, or Gijón and follows a hybrid working model, combining remote work with in-office collaboration to foster innovation, knowledge sharing, and close teamwork.

Candidates must reside in Spain and hold a valid permit to work in Spain.
YOU ARE

Technical expert in graph data architecture and ontology engineering, capable of designing and delivering semantic data solutions across industries and technology stacks. Works as the lead architect in delivery engagements, owning the technical design from domain modelling through to production deployment. Operates across AWS and Azure environments and across a broad range of graph and semantic tooling.

You lead a significant knowledge engineering scope and function within a large program; actively contribute to thought leadership. You shape how a substantial body of work formulates real-world problems into scalable AI and KG solutions, and set the technical direction for that scope. You lead a team and guide exploration and implementation of new methodologies, model building techniques, and cutting-edge algorithms. You remain at the forefront and drive innovation by applying these techniques to new business problems, use cases, and scenarios. You design, evaluate, and maintain ontologies, and establish the standards others follow. You justify the value to business and technology stakeholders, and construct the methodologies and data architectures that demonstrate it. You publish or present perspective beyond the immediate project. You work across business and technical teams to drive end-to-end delivery for their scope.
THE WORK

  • Leads the build of Knowledge Graph solutions that transform a client's data architecture within program scope.
  • Directs the design, development, and implementation of AI and semantic solutions, ensuring all the pieces work together seamlessly.
  • Works with project leaders, delivery leads, and client stakeholders to create stand-out, graph-powered Data & AI offerings.
  • Develops strong client relationships and earns the trust of key advisors.
  • Makes the business case for the semantic layer solution recommended to the client.
  • Contributes meaningfully to Accenture sales and pre-sales efforts.
  • Provides thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks, and concerns.


EDUCATION

  • MSc or BSc in Computer Science, Mathematics, Physics, Engineering, or a related field.
     

BASIC (REQUIRED) QUALIFICATION

  • Bachelor's degree or equivalent, plus at least 3 of the following:
  • Proven experience in data engineering, software engineering, or AI engineering, with solutions deployed in production.
  • Experience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune, Azure Cosmos DB, Allegro Graph), and vector databases.
  • Strong proficiency in graph query languages: SPARQL and/or Gremlin / Cypher
  • Hands-on experience with at least two graph database platforms across different paradigms (RDF triple store + property graph)
  • Experience integrating graph layers with enterprise metadata and governance platforms (Collibra, Informatica, Apache Atlas, Alation or similar)
  • Cloud data architecture competence on AWS and/or Azure: storage, processing, and orchestration layers
  • Strong Python skills with experience in frameworks like Tensorflow, PyTorch, with tools for building ETL pipelines (e.g. Apache NiFi, Airflow) and advanced SQL as everyday working tools.
  • Experience in schema design, ontology management, and KG curation
  • Having worked in designing and developing Knowledge Graph solutions and graph-based ML models (functional + technical)
  • Experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration
  • Fluency Spanish and a high level of understanding and communicating in English

PREFERRED QUALIFICATION

  • Proven hands-on experience with cloud platforms (AWS, Azure, GCP)
  • Practical experience with NLP and/or Search techniques
  • Prompt engineering, and LLMs for enterprise-scale applications.
  • You have team lead experience
  • Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.
  • You have external client-facing consulting experience
  • Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.
  • Broad experience in diverse ML techniques and agentic systems.

At Accenture, recognized as a Great Place To Work®, we are committed to a hybrid work model that, supported by technology and our office spaces, enables us to maintain the essential human connection needed to collaborate effectively with our teams and clients. This connection helps us foster our culture of inclusion and diversity and has contributed to being recognized by Refinitiv as one of the world's most diverse companies.


In addition, we offer:

  • Private medical, life, and accident insurance.
  • Medical services and wellbeing programs.
  • Flexible benefits program and employee share purchase plan.
  • Flexible working arrangements (working hours, additional leave days, vacation options, and more).
  • Personalized learning and career development paths.
  • Sustainability initiatives and opportunities to participate in the Accenture Foundation.
  • Employee diversity and inclusion networks.
  • Additional benefits, including special banking conditions through our Bankinter office and profit-sharing programs.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com


Declaración de igualdad de oportunidades en el empleo


Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.


#LI-MP

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Declaración de igualdad de oportunidades en el empleo

Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.

Skills Required

  • Bachelor's degree or equivalent in Computer Science, Mathematics, Physics, Engineering, or a related field
  • At least three of the listed technical qualifications
  • Production experience in data engineering, software engineering, or AI engineering
  • Strong knowledge of relational databases, object stores, graph databases, and vector databases
  • Strong proficiency in SPARQL and/or Gremlin or Cypher
  • Hands-on experience with at least two graph database platforms across RDF triple store and property graph paradigms
  • Experience integrating graph layers with enterprise metadata and governance platforms such as Collibra, Informatica, Apache Atlas, or Alation
  • Cloud data architecture experience with AWS and/or Azure, including storage, processing, and orchestration layers
  • Strong Python skills, TensorFlow or PyTorch experience, ETL pipeline tooling, and advanced SQL
  • Experience in schema design, ontology management, and knowledge graph curation
  • Experience designing and developing knowledge graph solutions and graph-based machine learning models
  • Experience implementing end-to-end data pipelines for AI applications, especially LLMs
  • Fluency in Spanish and strong English communication skills
  • Hands-on experience with AWS, Azure, or GCP
  • Practical experience with NLP and/or search techniques
  • Prompt engineering and enterprise-scale LLM experience
  • Team lead experience
  • Strong collaboration across engineering, research, and product teams in multiple time zones
  • External client-facing consulting experience
  • PhD in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field
  • Broad experience with diverse machine learning techniques and agentic systems

Accenture Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.

  • Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
  • Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
  • Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.

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The Company
HQ: Dublin
456,553 Employees
Year Founded: 1989

What We Do

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

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