Data Architect – Databricks | Bulgaria

Deloitte helps leading organizations modernize the way they use data, analytics, and AI. This role is within Deloitte's Data & AI practice delivering enterprise-scale data platforms with Databricks at the core, serving clients across various industries including Financial Services, Retail, Energy, Manufacturing, Telecommunications, and Public Sector.

• 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 of Lakehouse, 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 major cloud 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, ability to explain architecture decisions clearly to technical and non-technical stakeholders.
• Ability to translate business needs into practical, scalable technical solutions.
• Consulting mindset to identify opportunities, shape solutions, and advise clients.
• Excellent English language skills and native Bulgarian.

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

• 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, and cloud technologies.
• Translate business requirements into scalable, secure, and maintainable architecture solutions.
• Define target architectures, integration patterns, governance frameworks, and delivery standards.
• Lead architecture workshops, technical discussions, solution reviews, and client presentations.
• Provide architectural 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.

Excellent English language skills and native Bulgarian are a must. The role includes client-facing engagements and occasional business travel.