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Data Architect


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Power Bi
  • Cloud Data Strategy: Develop and execute a cloud data strategy aligned with organizational goals.

  • Data Architecture: Design robust data architectures in Microsoft Azure and AWS.

  • Data Integration: Lead data integration efforts, including ETL processes, to ensure seamless data flow.

  • Data Security and Compliance: Implement security measures and compliance standards in cloud environments.

  • Performance Optimization: Continuously monitor and optimize data solutions for cost-efficiency.

  • Data Governance: Establish and enforce data governance and quality standards.

  • Cloud Services Utilization: Leverage Azure and AWS services, as well as tools like dbt and Databricks, for efficient data pipelines and analytics solutions.

  • Collaboration: Work with cross-functional teams to understand requirements and provide data solutions.

  • Documentation: Maintain comprehensive documentation for data architecture and solutions.

  • Mentorship: Mentor junior team members in cloud data architecture best practices.

  • 10+ years of professional experience in the Data & Analytics area

  • 2+ years of experience in the Architect or Senior Consultant role with a strong focus on AWS data solutions.

  • Good understanding of business processes and the ability to drive automation through effective management.

  • Advanced or expert level knowledge and understanding of architecture, application design, systems engineering, and integration.

  • Exposure to multiple, diverse technologies and processing environments.

  • Bachelor's degree in computer science, information technology, or related field. Master's degree is a plus.

  • Proven Cloud Data Architect experience with a focus on Azure, AWS, dbt, and Databricks.

  • In-depth knowledge of cloud data services, data warehousing, big data technologies, and data lakes.

  • Expertise in data modeling, data integration, and ETL processes.

  • Familiarity with data governance, data security, and compliance standards.

  • Proficiency in Python, PySpark, SQL

  • Strong problem-solving and analytical skills.

  • Excellent communication and interpersonal skills.

  • Relevant certifications in Azure and AWS (e.g., Azure Data Engineer, AWS Certified Data Analytics, AWS Certified Solutions Architect) a plus.

  • Experience with data visualization tools (e.g., Power BI, Tableau) is advantageous.

  • Familiarity with agile methodologies and the ability to apply DevOps and DataOps principles to data pipelines.

  • Strong problem-solving skills and attention to detail.

  • Very good command of English language (written and verbal) - C1 level

We Offer:
  • Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.

  • 100% remote.

  • Flexibility regarding working hours.

  • Full-time position

  • 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.

  • Plenty of opportunities to donate to charities and support the environment.


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