Data Engineering Architect

🕒 December 11, 2025

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Lingaro

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

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

• Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions. • Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices. • Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity. • Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis. • Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions. • Ensure that data engineering solutions align with the organization's long-term data strategy and goals. • Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures. • Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting. • Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise. • Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications. • Stay updated with emerging trends and technologies in data engineering, recommending and implementing innovative solutions as appropriate. • Conduct performance analysis and optimization of data engineering systems, identifying and resolving bottlenecks and inefficiencies. • Ensure data quality and integrity throughout the data engineering processes, implementing appropriate validation and monitoring mechanisms. • Collaborate with cross-functional teams to integrate data engineering solutions with other systems and applications. • Participate in project planning and estimation, providing technical insights and recommendations. • Document data architecture, infrastructure, and design decisions, ensuring clear and up-to-date documentation for implementation, reference and knowledge sharing.

🎯 Requirements

• 10+ years’ experience in the Data & Analytics area. 4+ years’ experience into Data Engineering Architecture. • Proficiency in Python, PySpark, SQL. • Strong expertise in Azure cloud services such as: ADF, databricks, pyspark, Logic app. • Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance. • Expertise in designing and implementing scalable and efficient data processing frameworks. • In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark). • Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy. • Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions. • Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges. • Experience in designing and implementing data solutions in a cloud environment. • Knowledge of data governance principles and best practices, including data privacy and security regulations. • Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders. • Experience in leading and mentoring data engineering teams, providing guidance and technical expertise. • Familiarity with agile methodologies and experience in working in agile development environments. • Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies. • Strong project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines. • Strong understanding of distributed computing principles, including parallel processing, data partitioning, and fault-tolerance

🏖️ Benefits

• 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, depending on your location. • 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. • Internal Gallup Certified Strengths Coach to support your growth. • 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