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

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)