Data Architect – Snowflake

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Infosys

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1981

🏢 Enterprise

💼 Consulting

🤖 Artificial Intelligence

💰 $200M Post-IPO Equity on 2008-07

Enterprise • Consulting • Artificial Intelligence

Infosys is a global leader in next-generation digital services and consulting, providing a wide range of solutions to enterprises across various industries. With expertise in AI, cloud computing, application development, and business process management, Infosys drives digital transformation for its clients, helping them navigate their digital journey with innovative offerings. The company collaborates with numerous partners to enhance business operations and has a significant presence in over 56 countries. It also focuses on developing new-age solutions in areas like blockchain, IoT, and generative AI to deliver value to businesses worldwide.

📋 Description

• Act as the primary data architecture liaison between business stakeholders and IT delivery teams • Lead solution architecture and design across enterprise data domains including product and material master data, commercial and sales, customer and consumer, manufacturing, supply chain, finance, procurement, ERP and PLM • Lead business-to-technology architecture discussions and convert requirements into scalable solution designs • Design and govern enterprise-scale data architectures using Snowflake as the strategic cloud data platform • Define standards for data modelling, incremental processing, change data capture, performance optimisation, security and access control • Define scalable, observable and maintainable ingestion, processing and data-product patterns • Establish reconciliation controls covering completeness, accuracy, timeliness and consistency between source systems and Snowflake • Define semantic-layer standards for Power BI, Tableau or equivalent analytics platforms and ensure KPI-to-source traceability • Identify technical dependencies, architecture risks, resource needs and implementation constraints • Support data foundations for AI and advanced analytics use cases • Support business growth through strategic pre-sales and solutioning initiatives

🎯 Requirements

• Senior data architecture experience in enterprise data and analytics programmes • Recent, demonstrable Snowflake architecture experience • Strong data modelling and cloud data-platform design capability • Experience integrating enterprise source systems with modern data platforms • Strong stakeholder facilitation and client-facing solution design skills • SAP ECC or SAP S/4HANA data structures and upstream business-process knowledge (preferred) • PLM and product/material master-data experience (preferred) • Microsoft Azure, Power BI and AI/ML data-platform exposure (preferred) • Consumer Packaged Goods, manufacturing or supply-chain domain experience (preferred)

🏖️ Benefits

• Industry-leading compensation and benefits • Top training and development opportunities • Dedicated training and career paths • Inclusive and entrepreneurial culture • Global reach and opportunity to partner with clients throughout their transformation journey