Data Architect – Data & AI Platforms, Databricks Focus

🔥 3 hours ago

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Tieto

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

☁️ SaaS

🤖 Artificial Intelligence

Consulting • SaaS • Artificial Intelligence

Tieto is a Nordic IT services and software company that helps organizations turn ideas into results by providing AI and data solutions, software products, cloud and software development, and design and consulting services. It serves multiple verticals — including banking (Tieto Banktech), healthcare (Tieto Caretech), industrial/manufacturing (Tieto Indtech), telecom, public sector, energy and paper and fibre — and emphasizes AI, cloud and digital transformation for enterprise customers.

📋 Description

• 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

🎯 Requirements

• 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

• Health insurance • retirement plans • paid time off • flexible work arrangements • professional development • bonuses • stock options • equipment allowances • wellness programs