Data Architect - Data & AI Platforms (Databricks Focus) - Tieto Tech Consulting (m/f/d)

## 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…