Data Architect

About Tarento: Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare.

Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions. We're proud to be recognized as a Great Place to Work, a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you’ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose.

Data Architect We are looking for an experienced Data Architect with strong expertise in designing and implementing scalable data platforms to support business analytics, AI, and operational/supply-chain use cases .

Key Responsibilities

Design and define scalable data architecture, data models, data flows, and integration solutions . Architect and implement modern cloud data solutions using Microsoft Azure and Databricks . Work closely with business stakeholders to understand requirements and translate them into data and analytics solutions . Guide the design of data pipelines, transformation frameworks, and data integration using SQL, Python, and PySpark .

Ensure data platforms meet requirements around data quality, governance, security, performance, and scalability . Build data foundations that support advanced analytics, machine learning, Generative AI, and LLM use cases . Collaborate with Data Engineers, Data Scientists, and business teams to deliver end-to-end solutions.

Support supply-chain and operational analytics initiatives and integrate data from multiple business sources. Provide technical direction and architecture guidance to engineering and analytics teams.

Required Skills

Strong experience in Data Architecture and Data Modelling . Hands-on experience with Azure and Databricks . Strong proficiency in SQL, Python, and PySpark . Experience with Data Lake / Lakehouse, ETL/ELT, and data integration . Good understanding of data governance, data quality, metadata, and data security . Experience designing data platforms for analytics and AI workloads .

Strong stakeholder management and communication skills.

Preferred Skills

Experience with Generative AI, LLMs, RAG, or AI data pipelines . Experience in Supply Chain, Operations, Manufacturing, or Retail analytics . Azure / Databricks certifications. Experience with enterprise-scale data modernization or cloud migration programs.