Deloitte

Audits companies and advises on tax and technology

Data Architect - Databricks

Data EngineeringConfirmed live in the last 24 hours

Full-timeBulgariaNo salary listedIn-person

About the Job

Requirements

Around 5–7 years of experience in Data Engineering, Data Architecture, or modern data platform roles.
Strong hands-on experience with Databricks, Apache Spark, PySpark, Python, and SQL.
Experience designing end-to-end data platforms or Lakehouse solutions.
Strong understanding of Lakehouse, Data Lake, and Data Warehouse architectures.
Experience designing scalable patterns for data ingestion, transformation, storage, and integration.
Good knowledge of Delta Lake, Unity Catalog, data governance, security, and data modelling.
Experience with Azure, AWS, or GCP.
Understanding of Git, CI/CD, testing, and Infrastructure as Code.
Experience guiding or mentoring Data Engineering teams.
Strong client-facing and communication skills, including the ability to explain technical decisions to non-technical stakeholders.
Ability to translate business requirements into practical technical solutions.
Excellent English and native Bulgarian.

Responsibilities

Own the architecture of modern Data & AI platforms, from discovery and solution design through implementation and production.
Design scalable enterprise solutions using Databricks, Delta Lake, Lakehouse architecture, and cloud technologies.
Translate business and technical requirements into secure, scalable, and maintainable architectures.
Define target architectures, integration patterns, and governance approaches.
Facilitate architecture workshops, technical discussions, and solution reviews with clients.
Guide Data Engineers and delivery teams throughout implementation.
Stay technically involved through prototypes, code reviews, troubleshooting, and performance optimization.
Design for scalability, reliability, security, governance, and cost efficiency.
Support Proofs of Concept, solution scoping, and pre-sales activities.
Build trusted relationships with client stakeholders and contribute to identifying opportunities where Data & AI can solve business challenges.

Desired Qualifications

Databricks Professional-level certification.
Databricks Asset Bundles or Lakeflow.
Structured Streaming.
Terraform or dbt.
Experience with data governance or observability platforms.
Exposure to Microsoft Fabric, Snowflake, BigQuery, or Redshift.
AI, ML, or GenAI architecture experience.
Pre-sales or technical solutioning experience.
Experience working in regulated enterprise environments.

Who we are looking for

🟢 Lead enterprise Data & AI transformation with Deloitte

At Deloitte, we help organizations modernize how they use data, analytics and AI.

As a Data Architect – Databricks, you will design modern enterprise data platforms with Databricks at their core. You’ll work directly with clients to turn business needs into scalable, secure and maintainable solutions that enable analytics, machine learning and AI.

This is a hands-on architecture role. You’ll shape technical direction and guide engineering teams, while staying close to delivery through prototypes, reviews, troubleshooting and optimization.

You’ll collaborate with Data Engineers, Data Scientists, AI specialists and cloud teams across international projects and industries.

💼 What you bring:

Around 5–7 years of experience in Data Engineering, Data Architecture or modern data platform roles
Strong hands-on experience with Databricks, Apache Spark, PySpark, Python and SQL
Experience designing end-to-end data platforms or Lakehouse solutions
Strong understanding of Lakehouse, Data Lake and Data Warehouse architectures
Experience designing scalable patterns for data ingestion, transformation, storage and integration
Good knowledge of Delta Lake, Unity Catalog, data governance, security and data modelling
Experience with Azure, AWS or GCP
Understanding of Git, CI/CD, testing and Infrastructure as Code
Experience guiding or mentoring Data Engineering teams
Strong client-facing and communication skills, including the ability to explain technical decisions to non-technical stakeholders
Ability to translate business requirements into practical technical solutions
Excellent English and native Bulgarian

Nice to have

Databricks Professional-level certification
Databricks Asset Bundles or Lakeflow
Structured Streaming
Terraform or dbt
Experience with data governance or observability platforms
Exposure to Microsoft Fabric, Snowflake, BigQuery or Redshift
AI, ML or GenAI architecture experience
Pre-sales or technical solutioning experience
Experience working in regulated enterprise environments

Your future role

Own the architecture of modern Data & AI platforms, from discovery and solution design through implementation and production
Design scalable enterprise solutions using Databricks, Delta Lake, Lakehouse architecture and cloud technologies
Translate business and technical requirements into secure, scalable and maintainable architectures
Define target architectures, integration patterns and governance approaches
Facilitate architecture workshops, technical discussions and solution reviews with clients
Guide Data Engineers and delivery teams throughout implementation
Stay technically involved through prototypes, code reviews, troubleshooting and performance optimization
Design for scalability, reliability, security, governance and cost efficiency
Support Proofs of Concept, solution scoping and pre-sales activities
Build trusted relationships with client stakeholders and contribute to identifying opportunities where Data & AI can solve business challenges

What we offer

🟢Why Deloitte

Shape Data & AI transformation

Design modern data platforms that provide the foundation for analytics, machine learning and AI.

Combine architecture with hands-on technology

Influence important technical decisions without moving away from the technology and engineering work you enjoy.

Work directly with clients

Partner with business and technology stakeholders to solve complex data challenges and translate them into practical solutions.

Work with experienced specialists

Collaborate with Data Engineers, Data Scientists, AI specialists and cloud professionals across Deloitte’s network.

Broaden your experience

Work across international projects, industries and complex enterprise environments.

Keep developing

Build deeper expertise through international collaboration, continuous learning, certifications and career development.

Selection process

Step 1: Application

Submit your CV in English through our careers portal.

Step 2: HR Interview

A conversation with our Talent Acquisition team to discuss your experience, motivation, leadership style, and career goals in English

Step 3: Architecture & Final Interview

Meet with our Data & AI leadership team to discuss your architecture experience, client-facing work, technical leadership, and overall fit for the role.

#LI-NF1

About the Company

Deloitte

Audits companies and advises on tax and technology

Deloitte audits companies and advises businesses and governments on tax, technology, and risk, and it is one of the Big Four, the world's four largest accounting firms. In 1849 its founder became the first independent auditor of a public company, Britain's Great Western Railway. Its auditors check companies' financial reports for errors and fraud before investors rely on them, while its consultants design strategy, install business software, and defend clients against cyberattacks. Clients pay fees for each audit or project, and each country's Deloitte firm is a separate business owned by its local partners. Deloitte was founded in London in 1845 and is based in New York.

Company size: 10,001+
Company stage: Late Stage VC
Total funding: $17.1M
Headquarters: New York, NY
Founded: 1845

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