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14F The Globe Tower
Open 4 months, first seen by us 145 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design and implement on-premise and cloud big data infrastructure
Write high-level and low-level designs for implementing teams
Define data architecture with analysts, engineers and business stakeholders
Build proofs-of-concept and prototypes for new data technologies
Advise business, product groups and solution architects on big data
Evaluate, recommend, design, and implement on premise and on cloud big data technologies and infrastructure
This includes creation of high-level designs (HLD) and low-level designs (LLD) to communicate solutions to implementing teams
Work closely with analysts, data engineers, and business stakeholders to define data architecture that is fit purpose and fit for use
You will develop proofs-of-concept, minimum viable products, prototypes and product demos for new data technologies
Serve as the go-to big data subject matter expert, passionately guiding technical consultations for business, product groups, and fellow solution architects
Open 4 monthsWe first saw this posting 145 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 145
Up longer than most. Similar jobs usually come down between day 7 and day 53.
From 7,804 similar postings that came down. Coming down is not always a hire.
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Open jobs by the week we first saw them, last 12 weeks.
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- 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.
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.
- 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).
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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.
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.
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14F The Globe Tower
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