Gcp Data Architect Job at Lingaro

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
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

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

Nice to have

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

What 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
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

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Gcp Data Architect

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