Posted 16 h agoFirst seen 9 h ago
Data Architect - Data & AI Platforms (Databricks Focus) - Tieto Tech Consulting (m/f/d)
·Veliko Tarnovo, Bulgaria·via SmartRecruiters
Posted by Tieto on 27 October 2026. Still on their SmartRecruiters board when we checked 29 min ago. Half of Tieto's roles come down within 22 days.
mid8+ yrsFull time
What the posting is about
Lead the design and evolution of lakehouse-based data platforms using Databricks and modern cloud technologies. Define data ingestion, processing, governance, and consumption across batch, streaming, and AI workloads. Act as a trusted advisor to customers, helping them modernize legacy data landscapes into cloud-native, Databricks-driven platforms.
Read out of the posting
Levelmid
Experience asked8+ years
EmploymentFull time
LocationVeliko Tarnovo, Bulgaria
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-10-27
Found viasmartrecruiters, direct from their system
We saw it 7 hours after it went up.
The posting, as the company wrote it
Employment: Full-time
Experience level: Mid-Senior Level
Job Description
Tieto Tech Consulting (MentorMate from 2001 to 2026) provides design-led, data-centric, and AI-powered digital engineering & consulting services to enterprises worldwide. With a strong heritage of Nordic quality, local presence, and global-scale operations, we are backed by 8,500+ IT professionals. Our clients trust us for advanced data and analytics skills, top industry-specific expertise, specialized software R&D, and the capabilities of a multinational team. We are part of Tieto, a leading technology company with an annual revenue of approximately EUR 2bn.   
Tieto Tech Consulting’s team in Bulgaria consists of 500+ professionals specializing in the development of tailored digital solutions in diverse industries. 
Key responsibilities 
Lead the design and evolution of lakehouse-based data platforms using Databricks and modern cloud technologies 
Define how data is ingested, processed, governed, and consumed across batch, streaming, and AI workloads 
Own architecture decisions around Delta Lake, data modelling, data pipelines, and platform scalability 
Act as a trusted advisor to customers, helping them modernize legacy data landscapes into cloud-native, Databricks-driven platforms 
Drive architecture for end-to-end data solutions, from ingestion (batch/streaming) to analytics, ML, and AI use cases 
Guide teams in building robust Spark-based pipelines and efficient data processing frameworks 
Establish best practices for Data engineering using Spark/ PySpark; Data governance with Unity Catalog; Data lifecycle and quality across the platform 
Lead solution workshops, technical deep-dives, and architecture sessions with clients and internal teams 
Support pre-sales and solution shaping, especially around Databricks-based architecture and delivery models 
Continuously improve platform design by introducing automation, DevOps practices, and reusable architecture patterns 
Stay up to date with Databricks innovations (DLT, Asset Bundles, Genie, ML/AI features) and bring them into real use cases 
Required experience & qualifications 
8-10+ years of experience in Data Engineering, Data Architecture, or similar roles 
Strong hands-on expertise in Databricks platform (core requirement), Apache Spark/ PySpark; Data pipelines and distributed data processing 
Proven experience designing and implementing lakehouse architectures (Delta Lake) 
Strong experience with Data modelling in large-scale analytical platforms; Batch and streaming data processing 
Solid experience with cloud ecosystems (Azure preferred, AWS also relevant) 
Understanding of data governance and security in modern platforms (e.g. Unity Catalog) 
Experience working directly with customers in a consulting or advisory capacity 
Ability to translate business requirements into scalable, cost-efficient data solutions 
Strong communication skills and ability to simplify complex architecture topics 
A significant advantage would be
Experience with advanced Databricks components:  Delta Live Tables (DLT); Databricks Workflows / Asset Bundles; Unity Catalog at scale 
Experience with real-time streaming architectures (Kafka, Structured Streaming) 
Familiarity with complementary platforms: Microsoft Fabric; Snowflake; Synapse/ Redshift 
Experience building AI-enabled data platforms, including: LLM-based solutions; RAG architectures; Data pipelines supporting ML/AI models 
Experience with MLOps/ DataOps practices and CI/CD pipelines 
Knowledge of infrastructure as code (Terraform, etc.) 
Industry experience in banking, manufacturing, retail, or healthcare 
Relevant certifications (Databricks, Azure, AWS) 
Additional Information
At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.
Diversity, equity and inclusion | Sustainability | Tieto
Stay alert to recruitment scams:
• Tieto only communicates via  @tieto.com  email addresses.
• We never ask candidates to pay fees or share financial details during recruitment.
• If you receive a suspicious message claiming to be from Tieto, don't respond — verify it via our official careers site.
• For more information visit  Important Advisory Regarding Recruitment Fraud | Tieto Blog
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