What will you do?

Data Architecture Strategy:

Develop and drive the overall data architecture strategy in alignment with the organization's business objectives.
Collaborate with stakeholders to understand data requirements and translate them into comprehensive and scalable data solutions.

Data Architecture Planning:

Develop and maintain a comprehensive data architecture roadmap, considering both short-term goals and long-term vision.
Evaluate and recommend technologies and tools that align with the organization's evolving data needs.

Data Modeling and Design:

Oversee the design and implementation of robust data models that meet the organization's current and future requirements.
Design and implement robust data models that support both transactional and analytical requirements.
Ensure data integrity, consistency, and accuracy across various databases and data sources.
Ensure data models adhere to industry best practices and standards.

Data Integration:

Oversee the integration of data from various sources, ensuring seamless and accurate data flow.
Implement data integration solutions that support real-time and batch processing requirements.
Establish and enforce data management policies and procedures to ensure data quality, consistency, and security.

Collaboration and Communication:

Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to ensure a cohesive and integrated approach to data management.
Provide technical leadership and mentorship to junior members of the data architecture team.
Communicate complex technical concepts to non-technical stakeholders in a clear and understandable manner.

Data Governance and Security:

Establish and enforce data governance policies and procedures to ensure data quality and compliance.
Implement robust security measures to protect sensitive data assets.

Continuous Improvement:

Stay current with industry trends and emerging technologies related to data architecture.
Identify opportunities for continuous improvement and optimization of data-related processes.

You will succeed if you:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• Proven experience as a Data Architect or a similar role, with a minimum of 4 years of relevant experience.
• Certification in Google Cloud Professional Data Engineer or related GCP certifications is highly desirable.
• Proficiency in designing and implementing data solutions on Google Cloud Platform.
• Strong expertise in GCP data services, including BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
• Experience with data modeling tools specific to GCP, such as BigQuery ML and Data Catalog.
• In-depth knowledge of GCP security and compliance features related to data management.
• Extensive experience in designing and managing databases on GCP, including Cloud SQL and Cloud Spanner.
• Proven ability to architect and implement data warehousing solutions on BigQuery.
• Familiarity with GCP's NoSQL database offerings, such as Iceberg and Bigtable.
• Demonstrated experience in building and optimizing data integration pipelines using GCP Dataflow.
• Proficient in GCP's data transfer and ingestion tools, such as Transfer Service and Cloud Storage Transfer Service.
• Ability to integrate and synchronize data between on-premises and GCP environments.
• Experience in leveraging GCP tools for advanced analytics and reporting, including Data Studio and Looker.
• Knowledge of data visualization tools and techniques on GCP.
• Familiarity with GCP's data governance and compliance features, including Data Loss Prevention (DLP) and Cloud Identity and Access Management (IAM).
• Proven ability to implement and enforce data governance policies and procedures on GCP.
• Strong collaboration skills to work effectively with cross-functional teams and stakeholders.
• Excellent communication skills to convey complex technical concepts to both technical and non-technical audiences.
• Exceptional problem-solving and analytical abilities to identify and address complex data architecture challenges.
• Proactive in identifying opportunities for optimization and efficiency improvements within the GCP data environment.

Why should you choose us?

We believe in balance between work and personal life. An attractive and extensive work-life balance portfolio guarantees lasting motivation for employees and thus a better quality of life, promotes physical and mental well-being and contributes to a positive work environment. All this with the aim of providing more freedom in reconciling work, career growth, private life and individual lifestyle. Therefore we offer to our employees over 25 different benefits to improve their personal and professional life in these areas:

• Financial benefits
• Benefits with focus on learning and development *
• Benefits with focus on health and sport *
• Benefits with focus on family and work - life balance
• Other benefits *

For more information about our benefits click to Benefits

Benefits with * are applicable also to part-time positions.
This information may be subject to changes and other internal rules.

Wage (gross)

2 500 EUR/monthFinal salary is negotiable. We are offering base salary depending on seniority level and previous experience of candidate. In addition to base salary we provide variable part and other financial benefits.

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