Azure Data Architect

Emploi pas sur LinkedIn

🕒 il y a 10 jours

🇵🇱 Pologne – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🚰 Ingénieur Data

👻 Score fantôme 11%

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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Lingaro

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2008

💼 Conseil

📣 Marketing

📦 Logistique

Consulting • Marketing • Logistics

Lingaro est un partenaire de services de données et d'analytique de bout en bout pour les marques et entreprises mondiales, offrant des stratégies de données, de l'ingénierie de plateforme, de l'IA/ML (y compris l'IA générative) et de la gouvernance des données pour libérer la valeur commerciale. Il combine des analyses focalisées sur des domaines (chaîne d'approvisionnement, commercial/RGM, commerce digital, durabilité) avec des plateformes de données, de la visualisation, MLOps, et des intégrations sécurisées dans le cloud (Google Cloud), en plus d'une branche créative (ALCHEMY) pour le design d'expérience de marque et de commerce basé sur les données.

Description

• Provide a standard common business vocabulary and express strategic data requirements • Define and implement data governance policies, procedures, and frameworks • Collaborate with stakeholders to align data strategy with business goals and document current and target states • Design and develop conceptual, logical, and physical data models • Define data standards, naming conventions, and data classification guidelines • Evaluate database technologies and solutions • Design and oversee implementation of relational, NoSQL, data warehousing, and Big Data platforms • Optimize database performance and implement security, backup, and recovery strategies • Design data integration solutions, including ETL processes and data pipelines • Document source-to-target mappings • Identify opportunities for data acquisition with IT and data experts • Apply data architecture patterns for data lakes, master data management systems, and ML-enriched data flows • Implement data profiling and cleansing processes • Establish, measure, monitor, and improve data quality standards • Facilitate requirements-gathering discussions and workshops • Prepare data inventory documentation • Communicate complex technical concepts to technical and non-technical stakeholders • Monitor industry trends and emerging technologies • Evaluate and recommend tools, technologies, and frameworks • Provide guidance to developers and team members • Conduct knowledge-sharing sessions and training programs

🎯 Exigences

• At least 6 years of professional experience in the Data & Analytics area • Proven experience as a Data Architect or in a similar role, ideally in a complex organizational setting • Strong understanding of data management principles, data modeling techniques, database design, and data integration flows • Experience developing and implementing data governance policies, procedures, and frameworks • Familiarity with industry best practices and emerging trends in data management and governance • Ability to design and develop conceptual, logical, and physical data models • Strong understanding of data modeling best practices, including normalization, denormalization, generalization, and performance optimization • Expertise with relational databases such as Oracle, SQL Server, and MySQL, and NoSQL databases such as MongoDB, Cassandra, and DynamoDB • Knowledge of database management systems, data warehousing, data integration technologies, and Big Data solutions • Familiarity with cloud-based database, warehouse, and lakehouse platforms • Experience designing and implementing ETL processes and data pipelines • Understanding of Business Intelligence and data analytics requirements • Excellent communication and presentation skills • Ability to collaborate with business analysts, developers, and data scientists • Strong analytical and problem-solving abilities • Familiarity with data profiling, data cleansing, data harmonization, and data quality assessment techniques • Knowledge of GDPR or CCPA, data encryption, access controls, and data masking techniques • Data Modelling and Design • Data Management • Requirement Gathering and Analysis • Data Processing • Technical Leadership • Data Quality • Azure Services – Synapse, ADF, ADL • Technical Implementation and Monitoring • One of: Python / Pyspark / R / Scala

🏖️ Avantages

• Stable employment with an established employer since 2008 • “Office as an option” model: remote or office work • Workation in line with the workation policy • Great Place to Work® certified employer • Flexibility regarding working hours and preferred form of contract • Comprehensive online onboarding program with a “Buddy” from day 1 • Cooperation with top-tier engineers and experts • Unlimited access to the Udemy learning platform from day 1 • Certificate training programs • Upskilling support, capability development programs, Competency Centers, knowledge sharing sessions, community webinars, and 110+ training opportunities yearly • Internal promotion and career growth opportunities • Diverse, inclusive, and values-driven community • Autonomy to choose the way you work • Referral bonuses • Activities supporting well-being and health • Opportunities to donate to charities and support the environment • Modern office equipment purchased for you or available to borrow, depending on location

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