Azure Data Architect

Job not on LinkedIn

🔥 1 hour ago

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.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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Lingaro

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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