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Salary
≈ $45k – $110k per year (Estimated)
Location
In office (Sofia)
Seniority
Architect · 10+ years exp

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 11, 2026.

Overview
Company
Impact
Profile match
Deloitte Central Europe is the regional member firm of the Deloitte network covering Poland, the Czech Republic, Slovakia, Hungary, Romania, Bulgaria, Croatia, Serbia and other countries of the region. It provides audit and assurance, tax, legal, risk advisory, financial advisory and technology consulting services, including Salesforce, SAP and cybersecurity work, to public and private clients, and runs large delivery teams in Bucharest, Budapest, Warsaw and Sofia. The firm is headquartered in Warsaw, Poland.

Description & Requirements

Who we are looking for

Lead enterprise Data & AI transformation with Deloitte

At Deloitte, we help leading organizations modernize the way they use data, analytics, and AI. As a Senior Data Architect - Databricks, you will design and deliver enterprise-scale data platforms with Databricks at the core, helping clients build the foundations for advanced analytics, machine learning, and AI-driven decision-making.

This isa senior, client-facing role for someone who wants to go beyond technical design. You will shape architecture, advise stakeholders, guide engineering teams, and take ownership of complex data platform solutions from early discovery through production delivery.

You will work with Data Engineers, Data Scientists, AI specialists, cloud teams, and senior client stakeholders across international projects. The role combines hands-on architecture, consulting, technical leadership, and delivery ownership within Deloitte's growing Data & AI practice.

What you bring:

  • 10+ years of experience in Data Engineering, Data Architecture, or modern Data Platform roles.
  • Proven experience designing and delivering end-to-end data platforms or Lakehouse solutions.
  • Strong hands-on experience with Databricks, Apache Spark, PySpark, Python, and SQL.
  • Strong understanding ofLakehouse, Data Lake, Data Warehouse, and modern Data Platform architectures.
  • Experience designing scalable ingestion, transformation, storage, serving, and integration patterns.
  • Good knowledge of Delta Lake, Unity Catalog, data governance, security, and data modelling.
  • Experience with at least one majorcloud platform: Azure, AWS, or GCP.
  • Strong understanding of Git, CI/CD, testing, and Infrastructure as Code.
  • Experience leading, mentoring, or guiding Data Engineering teams.
  • Strong client-facing communication skills, with the ability to explain architecture decisions clearly to both technical and non-technical stakeholders.
  • Ability to translate business needs into practical, scalable technical solutions.
  • Consulting mindset, with the ability to identify opportunities, shape solutions, and advise clients with confidence.
  • Excellent English language skills and native Bulgarian are a must

Nice to have

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

Your future role

  • Lead end-to-end Data & AI platform engagements, from discovery and solution design to implementation and production delivery.
  • Design modern enterprise data platforms using Databricks, Lakehouse Architecture, Delta Lake, andcloud technologies.
  • Translate business requirements into scalable, secure, and maintainablearchitecture solutions.
  • Define target architectures, integration patterns, governance frameworks, and delivery standards.
  • Lead architecture workshops, technical discussions, solution reviews, and client presentations.
  • Providearchitectural guidance to Data Engineers and delivery teams throughout implementation.
  • Stay hands-on through prototypes, code reviews, troubleshooting, and performance optimization.
  • Design solutions with scalability, reliability, security, governance, and cost efficiency in mind.
  • Lead Proofs of Concept and support pre-sales activities, solution scoping, and proposals.
  • Build trusted relationships with client stakeholders and help identify new Data & AI opportunities.
  • Participate in client-facing engagements and occasional business travel when required.

What we offer

Why Deloitte

Shape Data & AI transformation

Design modern data platforms that enable analytics, machine learning, and AI at enterprise scale.

Own architecture from strategy to production

Influence key technical decisions and lead solutions through the full delivery lifecycle.

Work with senior stakeholders

Partner directly with business and technology leaders to solve complex data challenges.

Lead high-performing teams

Guide engineers, define standards, and help build strong delivery practices.

Work across industries and markets

Deliver solutions for clients in Financial Services, Retail, Energy, Manufacturing, Telecommunications, Public Sector, and more.

Grow within Deloitte's Data & AI practice

Access international collaboration, continuous learning, certifications, mentorship, and long-term 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.

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