Data Architect

About the job: We are a digitally native company where innovation, design and engineering meet scale. We use the latest technologies in the digital and cognitive field to empower organizations in every aspect. We want you to join us to work for the biggest clients in tech, retail, travel, banking, eCommerce and media, revolutionizing and growing their core businesses while helping them (and you!) stay ahead of the curve. Be part of a company with the most cutting-edge practices and technologies plus a unique team. We are looking for a Data Architect for a Full time or C2C position in Riyadh, KSA to join our team at Globant!

Responsibilities:

• Be a key contributor to the planning and implementation of data platform initiatives.
• Collaborate with various business stakeholders and technology leaders to translate program requirements into technical solutions and system designs.
• Work across the entire product life cycle; concept, design, development, deployment, testing, release, and support.
• Provide technical guidance and coaching to data engineers. This will require hands-on work developing prototypes, contributing code, and evaluating technologies.
• Provide leadership and expertise in the development of standards, architectural governance, design patterns, and practices.
• Be a force multiplier for the data engineering team, helping them to make good decisions, avoid (or at least learn from) bad ones and confidently make difficult trade-offs.
• Stay current on the latest data engineering technologies and industry trends. Evangelize best practices within the engineering organization.

Minimum qualifications:

• BS degree in Computer Science, Computer Engineering or related technical field or equivalent practical experience
• 8+ years of proven professional experience as a data engineer and/or data architect
• Proven experience acting as a technical lead with ability to mentor and lead data engineers
• Extensive experience in Data Warehousing (Relational and dimensional data modeling)
• Experience with distributed data storage and large-data processing (Spark, EMR, Hadoop, Hive)
• Experience with GCP cloud formation
• Experience working in an agile/scrum environment
• Experience or knowledge in Data Science

Preferred qualifications:

• Familiar with software build, release, deployment and monitoring tools and practices
• Experience collaborating with data scientists, exposure to machine learning algorithms and/or statistical modeling methods
• Strong organizational and mentoring skills with experience in leading large projects
• Proven track record of translating technical objectives into engineering reality
• Experience dealing with competing priorities in a fast-paced environment
• Experience designing and building data warehousing platforms

Skills:

• Digital strategy consulting
• GCP cloud foundation
• Agile in data science
• Enterprise data architecture
• English