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Senior Data Engineering Architect

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Lingaro

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Location:
Poland

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Responsibility:

  • 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:

  • Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
  • 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
  • Proficiency in Python, PySpark, SQL
  • Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and 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
  • Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's degree may be preferred
What we offer:
  • Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
  • 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
  • Social fund benefits for everyone. All Lingarians can apply for social fund benefits, such as vacation co-financing
  • 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

Additional Information:

Job Posted:
December 09, 2025

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