Logo for Tieto

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

Role overview

Qualifications

  • 8-10+ years of experience in Data Engineering, Data Architecture, or similar roles
  • Strong hands-on expertise in Databricks platform, Apache Spark/PySpark
  • Proven experience designing and implementing lakehouse architectures (Delta Lake)
  • Strong communication skills and ability to simplify complex architecture topics

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
  • Act as a trusted advisor to customers, helping them modernize legacy data landscapes into cloud-native platforms
  • Continuously improve platform design by introducing automation, DevOps practices, and reusable architecture patterns

Key facts

Hard skills

Other skills

  • Communication

About the company

Tieto logo

Tieto

Computer Software / SaaS

Unlocking lasting impact with software and technology consulting services.

Company details

Company typeXLarge
IndustryComputer Software / SaaS
Company size10001

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

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

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Data Architect Related jobs

Other jobs at Tieto

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.