GCP Data Architect

Lingarogroup; Poland; Hybrid; PLN 140,000 - 200,000; Full time

Benefits offered by this job

Stable employment

Office option

Workation

Great Place to Work

Flexible hours

Buddy onboarding

Udemy access

Career growth

Job summary

Lingarogroup is seeking an experienced Data Architect to lead our data engineering strategy in Poland. You will design scalable data architectures, models, and pipelines across data lakes and warehouses, ensuring governance, security, and performance.

You will partner with data scientists and analysts to enable insights and reporting, while mentoring engineers and aligning with the company’s data strategy. You will leverage GCP and modern tools to build robust, compliant data platforms, driving

Qualifications

• Minimum 6 years as Data Architect, with 4+ years on GCP.
• Deep knowledge of Google Cloud Platform and cloud services.
• Strong data analytics background and governance understanding.
• Proven ability to design scalable data architectures.

Responsibilities

• Collaborate with stakeholders to translate requirements into data engineering solutions.
• Design and oversee data architecture and infrastructure for scalability, performance, security, maintainability.
• Define data models and schemas to meet business needs (volume, velocity, variety).
• Select and integrate databases, data lakes, warehouses, and big data tools.
• Ensure alignment with long-term data strategy and governance practices.
• Collaborate with data scientists and analysts to enable data analysis and reporting.
• Provide technical guidance to data engineering teams during implementation.
• Oversee solution implementation per design docs and specs.
• Stay updated on trends and implement innovative data solutions.
• Analyze performance, optimize systems, and resolve bottlenecks.
• Ensure data quality and integrity with monitoring mechanisms.
• Integrate data solutions with other systems across functions.
• Participate in planning, estimation, and documentation.

Skills

Data architecture

Data modeling

ETL pipelines

SQL

Python

GCP cloud

Data governance

Data security

Communication

Stakeholder management

CI/CD

Distributed computing

Tools

Git

Jira

Confluence

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.

• 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.
• 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.

What We're looking for:

• At least 6 years of experience as Data Architect, including min. 4 years of experience working with GCP cloud-based infrastructure & systems.
• Deep knowledge of Google Cloud Platform and cloud computing services.
• Strong experience 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 columnar databases, relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks.
• Knowledge of modern data transformation tools (such as DBT, Dataform).
• Knowledge of at least one orchestration and scheduling tool.
• Programming skills (SQL, Python, other scripting).
• Tools knowledge: Git, Jira, Confluence, etc.
• 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.
• 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.

What Will Set You Apart:

• Certifications in big data technologies or/and cloud platforms.
• Experience with BI solutions (e.g. Looker, Power BI, Tableau).
• Experience with ETL tools: e.g. Talend, Alteryx
• Experience with Apache Spark, especially in GCP environment.
• Experience with Databricks.
• Experience with Azure cloud-based infrastructure & systems.

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, 1800+ 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 Udemylearning platformfrom 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 yourwell-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.