Tech Lead – AWS Cloud Solution Architect

Job Description

Purpose and Mission

• The aim of IT organization is to grow with the emerging and promising technology capabilities being enabled in the company and continue to be innovative going one-step ahead of current trends and use internal skills to introduce new technologies that give a competitive advantage.  Enterprise Cloud Architect sits in Global IT Solution; the focus of this role will be in provide consultancy, best practice, implementation and participate in Roche Enterprise cloud project.

Dimensions

• Delivering IT solution builds and manage project or solution on enterprise cloud platform
• Working with multiple affiliates on architecture for cloud technology

Key competencies

• Strong background cloud technology especially AWS and data analytic area.
• Project management exposure (e.g.PMI, Prince2) and agile methodologies (like Scrum, Kanban, Lean).
• Ability to cooperate and communicate with people at different organization levels and within multidisciplinary teams

Key responsibilities

• Hand on experience in implementation of organization wide enterprise cloud environment especially in AWS technology.
• Experience building an enterprise-scale data warehouse and data lake solutions end-to-end.
• Knowledgeable about a variety of strategies for ingesting, modeling, processing, and persisting data.
• Experience with native AWS technologies for data and analytics such as Redshift Spectrum, Athena, S3, Lambda, Glue, EMR, Kinesis, SNS, CloudWatch, Logstash etc.
• AWS Solution Architect certification is a big plus
• Be matrix leader, trainer and lead architect for a team to
  • Implement and support reporting and analytics infrastructure for internal business customers using AWS, services such as Athena, Redshift, S3, RDS, Spectrum, EMR, and Quick Sight.
  • Develop and maintain data security and permissions solutions for enterprise-scale data warehouse and data lake implementations including data encryption and database user access controls and logging.
  • Develop and optimize data warehouse and data lake tables using best practice for DDL, physical and logical tables, data partitioning, compression, and parallelization.
  • Develop and maintain data warehouse and data lake metadata, data catalog, and user documentation for internal business customers.
  • Work with internal business customers and development teams to gather and document requirements for data publishing and data consumption via data warehouse, Data Lake, and analytics solutions.
• Be able to learn and assess other and new technologies such as Snowflake, Ali Cloud.

Mandatory skills

• Bachelor’s degree in Computer Science, Info Systems, Business, or a related field.
• 3-5 years of experience with AWS cloud technology, familiar and hand-on experience in implementation of enterprise cloud architecture and solution.
• 3+ years of experience in distributed system concepts from data storage and compute perspective (e.g. data lake architectures) in cloud ecosystem
• 3+ years of experience with data warehouse, data lakes and big data processing systems