Azure Data Architect

Stelle nicht auf LinkedIn

🕒 vor 10 Tagen

🇵🇱 Polen – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🚰 Dateningenieur

👻 Geisterscore 11%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Lingaro

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2008

💼 Beratung

📣 Marketing

📦 Logistik

Consulting • Marketing • Logistics

Lingaro ist ein End-to-End-Datenservice- und Analysepartner für globale Marken und Unternehmen, der Datenstrategien, Plattformentwicklung, KI/ML (einschließlich generativer KI) und Datenverwaltung anbietet, um Geschäftswert freizusetzen. Es kombiniert domänenfokussierte Analysen (Lieferkette, kommerzielle/RGM, digitaler Handel, Nachhaltigkeit) mit Datenplattformen, Visualisierung, MLOps und sicheren Cloud-Integrationen (Google Cloud), sowie einen kreativen Bereich (ALCHEMY) für datengesteuertes Marken- und Handelserlebnisdesign.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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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