Description

You will design and oversee large-scale enterprise data architectures and analytics solutions for diverse client requirements.

Responsibilities

• Collate technical and functional requirements through workshops with senior stakeholders in risk, actuarial, pricing, and product teams.
• Translate business requirements into technical solutions and develop detailed solution proposals covering scope, approach, and timelines.
• Identify risks, assumptions, and develop pricing estimates for Data & Analytics solutions.
• Provide architectural expertise to sales and project teams while offering solution oversight to delivery architects.
• Analyze current business processes to identify opportunities for leveraging data and analytics solutions across various platforms.

Required Skills

• 6-8 years of experience in Big Data, data warehouse, data analytics, or Information Management projects.
• Experience building large-scale enterprise data architectures using commercial or open-source technologies.
• Proficiency in data manipulation languages including Spark, Scala, Impala, Hive SQL, Apache NiFi, and Kafka.
• Strong data modeling skills covering data warehousing, normalization, and dimensional modeling such as OLAP or Data Vault.
• Knowledge of security integration including Kerberos, SAML, data masking, and tokenization.
• Experience with DevOps engineering and Continuous Integration/Delivery tools.
• In-depth understanding of Cloud solutions including AWS, Azure, or GCP.
• Fluency in both Thai and English for communicating with international teams.
• Programming proficiency in Python, SQL, Java, C++, and Scala.

Preferred Skills

• Direct consulting experience engaging with both technical and non-technical stakeholders.
• Hands-on experience with Hadoop and database configuration and management.

Key Skills

Education

Any Graduate