--- title: 'Azure Data Architect at Lingaro' canonical: 'https://feeny.ai/job/azure-data-architect-lingaro-poland-b561xt1hkvyy' type: 'job' last_seen: '2026-11-01' --- # Azure Data Architect at Lingaro - **Company:** Lingaro - **Location:** Poland - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-10-30 - **Last confirmed live:** 2026-11-01 - **Apply:** https://jobs.lever.co/lingarogroup/45365d44-a0c9-4e62-9548-f13afeaf782e ## Job description Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics. Tasks - Provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements. - Define and implement data governance policies, procedures, and frameworks to ensure data integrity and compliance. - Collaborate with stakeholders to align data strategy with business goals and objectives, document current and target state in the form of business process and data journey diagrams. - Design and develop conceptual, logical, and physical data models that meet business requirements and align with the overall data strategy. - Define data standards, naming conventions, and data classification guidelines. Ensure data models are scalable, efficient, and optimized for performance. - Evaluate and select appropriate database technologies and solutions based on organizational needs and requirements. - Design and oversee the implementation of data platforms, including relational databases, NoSQL databases, data warehousing, and Big Data solutions. - Optimize database performance, ensure data security, and implement backup and recovery strategies. - Design data integration solutions, including Extract, Transform, Load (ETL) processes and data pipelines, document source to target mappings. - Collaborate with IT team and data experts to identify opportunities for data acquisition. - Understand and follow data architecture patterns for various types of data systems, e.g. data lake platforms, master data management systems, ML enriched data flows. - Implement data profiling and data cleansing processes to identify and resolve data quality issues. - Establish data quality standards and implement processes to measure, monitor, and improve data quality. - Facilitate discussions and workshops to gather requirements and align data initiatives with business goals, prepare data inventory documentation. - Communicate complex technical concepts effectively to both technical and non-technical stakeholders. - Stay abreast of industry trends and emerging technologies in data management, analytics, and security. - Evaluate and recommend new tools, technologies, and frameworks to enhance data architecture capabilities. - Provide guidance and support to developers and other team members on data-related topics. - Conduct knowledge sharing sessions and training programs to promote understanding and adoption of data architecture best practices. ## 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 in developing and implementing data governance policies, procedures, and frameworks to ensure data integrity and compliance. - Familiarity with industry best practices and emerging trends in data management and governance. - Ability to design and develop conceptual, logical, and physical data models that meet business requirements and align with the overall data strategy. - Strong understanding of data modeling best-practices, e.g. data normalization, denormalization, generalization, and performance optimization techniques. - Expertise in working with various database technologies, such as relational databases (e.g., Oracle, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, 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 in designing and implementing data integration solutions, including Extract, - Transform, Load (ETL) processes and data pipelines, understanding of data integration patterns and best practices. - Understanding of Business Intelligence and data analytics requirements, optimization of data storage and processing for reporting needs. - Excellent communication and presentation skills to effectively articulate complex technical concepts to both technical and non-technical stakeholders. - Ability to collaborate with cross-functional teams, including business analysts, developers, and data scientists, to understand requirements and drive data-related initiatives. - Strong analytical and problem-solving abilities to identify data-related issues, propose solutions, and make data-driven decisions. - 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, understanding of data encryption, access controls, and data masking techniques to ensure the security of sensitive data. - Professional certification in data management or related field would be advantageous. 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 / Scala Nice to have skills: - CI/CD Automation - GenAI for Data Engineering Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow. ## We offer - Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites. - “Office as an option” model. You can choose to work remotely or in the office. - Workation. Enjoy working from inspiring locations in line with our workation policy. - Great Place to Work® certified employer. - Flexibility regarding working hours and your 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. Lingarians earn 500+ technology certificates yearly. - Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. - Grow as we grow as a company. 76% of our managers are internal promotions. - A diverse, inclusive, and values-driven community. - Autonomy to choose the way you work. We trust your ideas. - Create our community together. Refer your friends to receive bonuses. - Activities to support your well-being and health. - Plenty of opportunities to donate to charities and support the environment. - Modern office equipment. Purchased for you or available to borrow, depending on your location. ## About Lingaro ## Company Overview - **One-liner**: Global end-to-end data and AI partner to leading brands and enterprises, turning complex data into actionable insights and AI-driven automation. - **Entity Type**: Privately Held (no public funding disclosures; bootstrapped growth assumed) - **Headquarters**: Warsaw, Poland - **Founded**: 2008 - **Founders**: Not publicly available ## Core Business - **Primary industries**: IT Services and IT Consulting; Data & Analytics; AI Services - **Target customers**: B2B, primarily large enterprises and global brands, including highly regulated industries (retail, CPG, supply chain, manufacturing) - **Mission**: Help clients achieve more with data and AI by creating data-driven and AI-augmented experiences that deliver human impact and measurable business outcomes. ## Products & Services - **Marketing & Commercial Analytics**: Marketing/media effectiveness, sales & channel execution, Revenue Growth Management (RGM), omnichannel commerce & content automation. - **Intelligent & Resilient Supply Chain**: Demand planning, sensing & forecasting, manufacturing intelligence, inventory optimization, warehouse automation, logistics analytics. - **Sustainability & Compliance**: Sustainable product intelligence & LCA, decarbonization & net zero pathway, compliance-grade reporting & risk management. - **AI & GenAI**: Custom AI models, machine learning solutions, automation including GAIA (AI sales & customer support assistant). - **Data Consulting**: Strategy development, governance frameworks, architecture design. - **Technology Consulting & Advisory**: Digital transformation guidance, technology roadmaps. - **Data Visualization**: Dashboards and reporting. - **Learning Technology & Adoption**: Training programs, user adoption strategies (5x faster adoption with 7 accelerators). - **Intelligent Operations & Support**: Managed services, 24/7 support, optimization. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Over 1,800 employees worldwide (homepage) / 1,092 according to LinkedIn (+3% YoY) - **Notable Investors/Partners**: Partnerships with leading hyperscalers (not named); no external investors publicly listed. - **Growth Signals**: - Recognized as a **Leader in ISG Provider Lens 2025** (Advanced Analytics and AI Services across Europe and the US). - **Fortune 100 Best Companies to Work For in Europe™** (2024). - **Great Place to Work®-certified** in Poland, Philippines, and India (2025). - **Best Workplaces™ in Asia** (2024). - Supports **75+ leading brands across 30+ countries**. - Workforce distributed across 25 countries; operations in 6 countries (Poland, US, Philippines, Singapore, Mexico, Switzerland). - Open positions visible on careers page (e.g., Data Engineer, AI DevOps, Supply Chain roles). ## Competitive Advantages - **End-to-end data & AI services** – from strategy/advisory to implementation, adoption, and managed support. - **Deep industry expertise** – especially in highly regulated sectors (retail, CPG, supply chain, sustainability). - **AI adoption framework** – 5x faster adoption via proprietary accelerators and change management. - **Human-centric approach** – combines design thinking, AI, and human creativity to build user-centric solutions. - **Global delivery model** – 24/7 support across time zones with strong European roots and global scale. - **Awards & recognition** – multiple Great Place to Work seals and ISG Leader status validates both workplace culture and service quality. ## Strategic Focus - **Data and AI readiness** – helping organizations become “data-ready, AI-ready, and future-ready.” - **Growth in AI & GenAI** – expanding custom model development and automation solutions like GAIA. - **Supply chain resilience** – intelligent supply chain offerings as a key growth vertical. - **Sustainability services** – compliance-grade reporting and decarbonization pathways for clients. - **Geographic expansion** – continues to scale presence in the US, APAC, and Europe. ## Why Work Here - **Culture**: Great Place to Work®- certified for multiple consecutive years; Fortune 100 Best Workplaces in Europe; Best Workplaces in Asia 2024. - **Work environment**: Remote and hybrid roles available (e.g., many positions listed as “Remote — Full-time Poland”). - **Growth & learning**: Strong focus on learning technology and adoption – internal training programs and career development. - **Global team**: Collaboration across 6 countries and 25 nationalities; exposure to large enterprise clients. - **Engineering culture**: Heavy emphasis on data engineering, AI/ML, cloud (GCP, Snowflake), and modern tech stacks. - **Employee rating**: 3.8/5.0 (249 reviews on LinkedIn) with Culture rated 4.0, Work-Life 3.9, Career 3.7. ## Sources 1. [Lingaro Group About Page](https://lingarogroup.com/about) 2. [Lingaro LinkedIn Company Page](https://www.linkedin.com/company/lingaro) 3. [Lingaro Careers Page (Lever)](https://jobs.lever.co/lingarogroup) 4. [Lingaro Group Home Page](https://lingarogroup.com/home) 5. [Lingaro Executive Leadership Page](https://lingarogroup.com/about/executive-leadership-team) ## Other roles at Lingaro - [Adoption and Learning Lead Consultant](https://feeny.ai/job/adoption-and-learning-lead-consultant-lingaro-poland-am6f3xc1gehv) — Poland - [Instructional Designer](https://feeny.ai/job/instructional-designer-lingaro-philippines-bpzqk1nvm2ad) — Philippines - [ML/AI Engineer - Venturesoft.ai](https://feeny.ai/job/ml-ai-engineer-venturesoft-ai-lingaro-india-dk22hz9wnest) — India - [Test Automation Engineer](https://feeny.ai/job/test-automation-engineer-lingaro-poland-q3674drrtr9g) — Poland - [Instructional Designer](https://feeny.ai/job/instructional-designer-lingaro-poland-c889wyzb7rp2) — Poland - [Data Modeler - Lead](https://feeny.ai/job/data-modeler-lead-lingaro-india-ye0qqw9b7p2h) — India - [Fullstack Data Scientist - freelancer](https://feeny.ai/job/fullstack-data-scientist-freelancer-lingaro-poland-8yye81t4q9a4) — Poland - [ML/AI Engineer - Classical ML](https://feeny.ai/job/ml-ai-engineer-classical-ml-lingaro-india-nfxx90ptkmdj) — India - [AI/ML Engineer - freelancer](https://feeny.ai/job/ai-ml-engineer-freelancer-lingaro-poland-86t715q4n6br) — Poland - [RGM Data Analyst](https://feeny.ai/job/rgm-data-analyst-lingaro-europe-vy3db4hr0yc3) — Europe