Data Architect - Data & AI Platforms (Databricks Focus) - Tieto Tech Consulting (m/f/d)
- Role
- Data Engineering
- Experience
- Lead
- Employment
- Full-time
- Company size
- Enterprise
Open to BG only. Set where you work from to check your eligibility.
No BS summary
Data Architect with 8-10+ years of experience in Data Engineering/Architecture, focusing on Databricks and cloud-native platforms. Must have strong hands-on expertise in Databricks, Spark/PySpark, lakehouse architectures (Delta Lake), and data modeling. Experience with cloud ecosystems (Azure preferred) and customer consulting is required. Ability to translate business needs into scalable data solutions is essential.
Core skills
Required skills
Optional skills
Required languages
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
What you'll do
- 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
What they require
- 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
Benefits
- 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.
One of the largest tech companies in the Nordics. The role works with Tieto's customer, Denmark's leading online grocery retailer, serving thousands of customers every day through a modern e-commerce platform.