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)
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
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