Data Architect

🕒 il y a 1 mois

🇵🇱 Pologne – Télétravail

⏰ Temps Plein

🟠 Senior

🔴 Expert

🚰 Ingénieur Data

👻 Score fantôme 15%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Software Mind

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1999

🤖 Intelligence artificielle

☁️ SaaS

📡 Télécommunications

💰 Private Equity Round en 2020-12

Artificial Intelligence • SaaS • Telecommunications

Software Mind est une entreprise technologique spécialisée dans le développement logiciel et les services de transformation numérique. En mettant l'accent sur les solutions IA et cloud, l'entreprise propose une large gamme de services, incluant le développement de logiciels sur mesure, le développement d'applications mobiles et le conseil en cloud. Software Mind dessert divers secteurs tels que les services financiers, les télécommunications, la biotechnologie et les médias, fournissant des solutions personnalisées pour accélérer les transformations numériques et la croissance des entreprises à l'échelle mondiale.

Description

• Assess clients’ current data landscapes and design target-state cloud, hybrid, or on-premises architectures aligned with business goals • Select technologies based on client needs, constraints, and existing stacks, with Snowflake and Databricks as core platforms • Design lakehouse, warehouse, and data lake architectures, including ingestion, ETL/ELT pipelines, CDC, streaming, and API integrations • Design conceptual, logical, and physical data models using Kimball, Data Vault, or 3NF, plus semantic layers for BI and AI • Define IAM, encryption, masking, row-level security, high availability/disaster recovery, performance, and cost optimization • Build data governance foundations including catalog, metadata, lineage, data quality, and data contracts • Prepare platforms for advanced analytics, ML, GenAI, and real-time use cases • Create reference architectures, reusable patterns, and accelerators for the Data & AI offering • Act as technical authority for delivery teams by reviewing designs and maintaining quality across projects • Partner with sales and industry teams on technical presales, discovery workshops, solution design, estimations, proposals, and RFPs • Present architectures and recommendations to engineering teams and C-level stakeholders • Design and run proofs of concept and technical demos • Evaluate new approaches and tools and share findings internally and externally

🎯 Exigences

• 7+ years in data engineering or data architecture, including at least 3 years in an architect role • Hands-on experience designing and delivering solutions on Snowflake and Databricks (Delta Lake, Unity Catalog, Spark): expert level in at least one, working knowledge of the other • Experience with at least one major cloud (Azure, AWS or GCP) and its data services • Strong data modeling skills (Kimball, Data Vault, 3NF) • Strong SQL and good Python • Experience with orchestration and transformation tools (e.g. Airflow, dbt, Azure Data Factory) • Solid understanding of data security, governance and regulatory requirements • Client-facing experience, ideally in consulting or IT services, and ability to explain technical trade-offs to business stakeholders • Very good English, spoken and written (C1) • Snowflake (SnowPro Advanced), Databricks or cloud architect certifications • Experience with Microsoft Fabric, BigQuery or Redshift • Streaming (Kafka, Spark Structured Streaming) and event-driven architectures • Data catalogs and MDM (Unity Catalog, Collibra, Atlan, DataHub) • Semantic layer and knowledge graphs (dbt Semantic Layer, ontologies, RDF/OWL) • Domain experience in one of the listed verticals • Previous presales or solution consulting experience

🏖️ Avantages

• Flexible and remote cooperation options • International projects with leading global clients • Travels related to international projects • Non-corporate atmosphere • Access to language classes • Access to knowledge-sharing initiatives • Access to private healthcare and life insurance • Access to multisport card

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