Role at a glance
- Job function
-
AI & Data Data Engineering
- Salary
- Not Disclosed
- Location
- Sofia
- Employment
- Full-time
- Experience
- Experience Level: 3-5 years in Data Engineering or a related data role
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Role Summary
The Data Architect Consultant designs and delivers scalable data architectures for analytics and AI solutions. The role builds and maintains data foundations and workflows that support LLM-driven applications, RAG pipelines, and intelligent agent workflows.
What You'll Do
- Build and maintain batch and real-time data pipelines for structured and unstructured data.
- Help set up and manage data storage and access layers for AI use cases.
- Support AI-ready data foundations, including embeddings, vector indexing, and feature engineering.
- Collaborate with data and AI teams to integrate models into data workflows.
- Apply basic data governance and security practices.
- Translate requirements into practical data solutions.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Requires 3-5 years in data engineering or a related data role; solid knowledge of Python and SQL; hands-on experience with at least one cloud platform (Azure, AWS, or Google Cloud); familiarity with Airflow, dbt, or similar data pipeline tools; and some exposure to GenAI or LLM-based applications such as RAG or embeddings, including through personal projects. Also asks for fluent written and spoken English, independence, organizational and execution skills, analytical and problem-solving ability, time management, attention to detail, and a proactive, collaborative mindset.
Required
- 3-5 years in Data Engineering or a related data role
- Solid knowledge of Python and SQL
- Hands-on experience with at least one cloud platform: Azure, AWS, or Google Cloud
- Familiarity with data pipeline tools such as Airflow, dbt, or similar
- Some exposure to GenAI or LLM-based applications (RAG, embeddings, or similar), even from personal projects
- Fluent in English – verbal & written
- Ability to work independently, demonstrating high-level organizational and execution skills
- Strong analytical, problem-solving, and time management skills
Preferred
- Basic understanding of vector databases or AI orchestration tools is a plus, not a must
- Experience with Snowflake, Databricks, or similar data platforms
- Familiarity with LangChain, LlamaIndex, or vector DBs (Pinecone, FAISS, Weaviate)
- Experience working in cross-functional teams
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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, Technology and Operations services, and Accenture Song — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 740,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.
The role is open in various locations such as Sofia, Plovdiv, Varna, Ruse and Burgas.
We are seeking a highly skilled Data Architect Consultant to design and deliver scalable, enterprise-grade data architectures that enable advanced analytics, GenAI, and agentic AI solutions. This role sits at the intersection of data engineering, data science, and AI, requiring hands-on expertise in building robust data ecosystems that support LLM-driven applications, RAG pipelines, and intelligent agent workflows in production environments.
Key Responsibilities:
Build and maintain data pipelines for structured and unstructured data (batch and real-time)
Help set up and manage data storage and access layers for AI use cases
Support AI-ready data foundations — embeddings, vector indexing, feature engineering
Collaborate with data and AI teams to integrate models into data workflows
Apply basic data governance and security practices
Translate requirements into practical data solutions
Experience Level: 3-5 years in Data Engineering or a related data role
Solid knowledge of Python and SQL
Hands-on experience with at least one cloud platform: Azure, AWS, or Google Cloud
Familiarity with data pipeline tools such as Airflow, dbt, or similar
Some exposure to GenAI or LLM-based applications (RAG, embeddings, or similar) — even from personal projects
Basic understanding of vector databases or AI orchestration tools is a plus, not a must
Nice to have:
Experience with Snowflake, Databricks, or similar data platforms
Familiarity with LangChain, LlamaIndex, or vector DBs (Pinecone, FAISS, Weaviate)
Experience working in cross-functional teams
The Rest of the qualities, you know them:
Fluent in English – verbal & written
Ability to work independently, demonstrating high-level organizational and execution skills
Strong analytical, problem-solving, and time management skills.
Proactive mindset and willingness to cross-functional collaboration
Very good attention to detail and meeting deadlines
Benefits:
Certification
Career Counselling
25 day paid vacation
Flexible home office policy
Options to buy shares
Luxury health & dental insurance
Food vouchers
Multisport cards
Employee Assistance Program
#LI-EU
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
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
About the company
Accenture
Large Enterprise
Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.