Data Architect Lead Jobs

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Responsibilities:

• Implementation of data architect design, datalake schema using graph database and cloud architecture to improve performance and efficiency
• Planning in designing data architects, datalake schemas using graph databases and cloud architecture to improve performance and efficiency
• Evaluate data architect design, datalake schema using graph database and cloud architecture to improve performance and efficiency

Qualifications:

• Project management capabilities: Ability to plan, organize, and manage resources to ensure projects are completed on time and within budget. Have skills in prioritizing tasks and managing risk.
• Technical skills: Have a strong knowledge and understanding of data technologies such as big data, data warehouse, data integration, data processing, and data modeling. Ability to lead teams to design, develop, and manage complex data architectures and integrate multiple data sources into a unified solution. Experience in modern technologies such as Python, SQL, NoSQL, GraphDB as well as using tools such as Spark, Hadoop, Kafka and Elasticsearch.
• Experience: At least 6-8 years of experience in the field of data technology, including experience as a Data Engineer, Data Analyst or other related position. Experience in managing a team of data engineers or at the managerial level is a must.
• Education: Bachelor or Master in information technology, computer science, engineering or related fields.
• Ability to keep learning: The ability to continue to learn and evolve in the field of data technology and understand the latest trends and their practical applications in the industry. Able to follow the latest developments in data technology and apply this knowledge in projects and daily work
• Analytical skills: The ability to understand the business and be able to understand the data well to develop effective data solutions. Able to identify trends, solve problems, and present findings to management and related teams.
• Leadership skills: Able to lead, direct and manage a team of data engineers. Have the ability to lead and supervise projects, plan and monitor budgets and human resources. Have good communication skills and the ability to collaborate with various departments and related teams. Able to motivate the team and develop the potential of each team member.