Job Description

Locations

• 14F The Globe Tower

Skills Required

• Cloud platformsintermediate
• Databricksintermediate
• programming languages typically used in big data solutionsintermediate

Required Qualifications

• Technical Expertise: Strong background in Cloud platforms (AWS, GCP, Microsoft Azure, RHOCP, etc.), microservices architecture, DevOps, and enterprise-grade solutions. A Proven track record of architecting and building large scale distributed big data systems on premises and on the cloud is essential. (experience)
• Experience: At least 5 years of hands-on experience as a Solution Architect, in designing and implementing complex systems. Hands-on experience with Databricks, Snowflake or other comparable big data platforms, and big data or streaming data tools is required. (experience, 5 years)
• Programming Skills: Hands-on experience with programming languages typically used in big data solutions (Python, Spark dbt, SQL). (experience)
• Data Concepts: Deep understanding of traditional data warehousing, business intelligence and data management concepts, principles and techniques. (experience)
• Problem-Solving Mindset: Analytical, with the ability to take on abstract business challenges, and design practical and scalable solutions. Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions. (experience)
• Strong Communication Skills: Excellent verbal and written communication skills with a high degree of comfort in speaking with senior executives at large companies. Comfortable in translating technical requirements into clear, concise business objectives. (degree in speaking with senior executives at large companies)
• Technical Expertise: Strong background in Cloud platforms (AWS, GCP, Microsoft Azure, RHOCP, etc.), microservices architecture, DevOps, and enterprise-grade solutions. A Proven track record of architecting and building large scale distributed big data systems on premises and on the cloud is essential. (experience)
• Experience: At least 5 years of hands-on experience as a Solution Architect, in designing and implementing complex systems. Hands-on experience with Databricks, Snowflake or other comparable big data platforms, and big data or streaming data tools is required. (experience, 5 years)
• Programming Skills: Hands-on experience with programming languages typically used in big data solutions (Python, Spark dbt, SQL). (experience)
• Data Concepts: Deep understanding of traditional data warehousing, business intelligence and data management concepts, principles and techniques. (experience)
• Problem-Solving Mindset: Analytical, with the ability to take on abstract business challenges, and design practical and scalable solutions. Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions. (experience)
• Strong Communication Skills: Excellent verbal and written communication skills with a high degree of comfort in speaking with senior executives at large companies. Comfortable in translating technical requirements into clear, concise business objectives. (degree in speaking with senior executives at large companies)
• Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us. (experience)

Responsibilities

• Design & Develop:Evaluate, recommend, design, and implement on premise and on cloud big data technologies and infrastructure that enable high performing, scalable, secure and stable solutions. This includes creation of high-level designs (HLD) and low-level designs (LLD) to communicate solutions to implementing teams
• Collaborate: Work closely with analysts, data engineers, and business stakeholders to define data architecture that is fit purpose and fit for use. This involves identifying requirements and use-cases with internal and external stakeholders, creating solutions that leverage big data and cloud technologies, and driving technical architecture and implementation plans.
• Innovate: Stay on top of industry trends, emerging technologies, and best practices to continuously enhance and future-proof our solutions. You will develop proofs-of-concept, minimum viable products, prototypes and product demos for new data technologies that we want to leverage for Globe’s data platform
• Champion: Serve as the go-to big data subject matter expert, passionately guiding technical consultations for business, product groups, and fellow solution architects.
• Design & Develop:Evaluate, recommend, design, and implement on premise and on cloud big data technologies and infrastructure that enable high performing, scalable, secure and stable solutions. This includes creation of high-level designs (HLD) and low-level designs (LLD) to communicate solutions to implementing teams
• Collaborate: Work closely with analysts, data engineers, and business stakeholders to define data architecture that is fit purpose and fit for use. This involves identifying requirements and use-cases with internal and external stakeholders, creating solutions that leverage big data and cloud technologies, and driving technical architecture and implementation plans.
• Innovate: Stay on top of industry trends, emerging technologies, and best practices to continuously enhance and future-proof our solutions. You will develop proofs-of-concept, minimum viable products, prototypes and product demos for new data technologies that we want to leverage for Globe’s data platform
• Champion: Serve as the go-to big data subject matter expert, passionately guiding technical consultations for business, product groups, and fellow solution architects.

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