Solution Architect/Lead Solution Architect (Analytics Transformation)

Lokalita
Typ úväzku
full-time
Plat
4 000 - 5 000 EUR/m Lead 5.000+ EUR, annual bonus (% depends om seniority).
Požadované vzdelanie
Požadovaný jazyk
English (B2)
Vhodné pre absolventov
Áno

As a Lead / Solution Architect specializing in Analytics Transformation, you will be a senior technical expert responsible for the design and implementation of assigned technology. We are currently seeking an experienced Senior Data Architect to join our dynamic team.

Popis pozície

Data Architecture Strategy:

  • Develop and drive the overall data architecture strategy aligned with organizational objectives.
  • Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.

Data Architecture Planning:

  • Maintain a comprehensive data architecture roadmap for both short-term goals and long-term vision.
  • Evaluate and recommend technologies and tools aligned with evolving data needs.

Data Modeling and Design:

  • Oversee the design and implementation of robust data models supporting transactional and analytical requirements.
  • Ensure data integrity, consistency, and accuracy across databases and sources.

Data Integration:

  • Oversee integration of data from various sources, ensuring seamless and accurate data flow.
  • Implement data integration solutions supporting real-time and batch processing.

Collaboration and Communication:

  • Collaborate with cross-functional teams, including data scientists, analysts, and engineers.
  • Provide technical leadership and mentorship to junior team members.
  • Communicate complex technical concepts to non-technical stakeholders.

Data Governance and Security:

  • Establish and enforce data governance policies for data quality and compliance.
  • Implement 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.

Požiadavky

  • Hold a Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
  • Have a minimum of 4 years of proven experience as a Data Architect or in a similar role.
  • Possess certification in Google Cloud Professional Data Engineer or related GCP certifications (desirable).
  • Demonstrate 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 

Ponuka

We believe in maintaining a balance between work and personal life. Our extensive work-life balance portfolio includes over 25 different benefits, focusing on financial well-being, learning and development, health and sports, and family and work-life balance. These benefits aim to enhance the personal and professional lives of our employees, providing them with the freedom to reconcile work, career growth, private life, and individual lifestyle.

Mám záujem o pozíciu

Kontaktná osoba k dispozícii

Pavol Derco
+421 917 991 200

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