Azure Data Architect

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

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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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 • Align data strategy with business goals and document current and target states using business process and data journey diagrams • 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 data platforms, including relational, NoSQL, data warehousing, and Big Data solutions • Optimize database performance, ensure data security, and implement backup and recovery strategies • Design data integration solutions, ETL processes, and data pipelines; document source-to-target mappings • Identify opportunities for data acquisition • Apply data architecture patterns for data lakes, master data management systems, and ML-enriched data flows • Implement data profiling and cleansing processes and improve data quality • Facilitate requirements workshops and prepare data inventory documentation • Communicate complex technical concepts to technical and non-technical stakeholders • Evaluate emerging tools, technologies, and frameworks • Guide developers and team members on data-related topics • 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 cross-functional teams • Strong analytical and problem-solving abilities • Familiarity with data profiling, data cleansing, data harmonization, and data quality assessment techniques • Knowledge of data security and privacy regulations such as GDPR or CCPA, encryption, access controls, and data masking • Must-have skills: 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, or Scala