Big Data Solutions Architect

Full-time
14F The Globe Towervia Globe Telecom, Inc. (Globe) CareersPosted Sep 22, 2026
Match with my CV

Technical skills

PythonSQLData engineeringBusiness intelligenceAWSAzureGoogle CloudCloud platformsDevOps

About this role

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description

Designs and ensures adherence to his/her recommended IT system landscape for optimal data flow, operational stability and avoidance of risks among systems supporting internal business processes.

Duties &

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.

Hiring

Requirements

  • 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: 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.
  • Programming

Skills

  • Hands-on experience with programming languages typically used in big data solutions (Python, Spark dbt, SQL).
  • Data Concepts: Deep understanding of traditional data warehousing, business intelligence and data management concepts, principles and techniques.
  • 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.
  • 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.

  • Equal Opportunity Employer

Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.

  • Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here

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.

Before you apply

  • 1Which parts of your CV prove experience with Python, SQL, and Data engineering?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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