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Solutions Architect
phData — признанный лидер отрасли с множеством наград от Snowflake и AWS, что гарантирует работу с передовыми технологиями. Удаленный формат работы в глобальной компании и фокус на профессиональном росте делают эту вакансию крайне привлекательной для опытных архитекторов.
Сложность вакансии
Роль требует редкого сочетания глубокой экспертизы в ArcGIS Enterprise и навыков работы с современными облачными платформами данных (Snowflake, AWS). Высокая планка ответственности за архитектуру крупных систем и необходимость консультирования клиентов повышают сложность позиции.
Анализ зарплаты
Указанная роль Solutions Architect в США со специализацией на ArcGIS и облачных данных обычно оплачивается выше среднего по рынку ИТ из-за узкой специализации. Ожидаемый диапазон составляет $140,000 - $185,000 в год в зависимости от штата и опыта.
Сопроводительное письмо
I am writing to express my strong interest in the Solutions Architect position at phData. With a robust background in managing ArcGIS Enterprise solutions and a deep understanding of modern cloud data stacks like Snowflake and AWS, I am confident in my ability to drive technical excellence within your Elastic Platform Operations team. My experience in professional consulting has taught me how to align complex data infrastructure with strategic business goals while maintaining high standards for security and scalability.
Throughout my career, I have specialized in automating operational tasks using Python and implementing infrastructure-as-code with tools like Terraform. I am particularly drawn to phData's reputation as a multi-year Snowflake Partner of the Year and your commitment to an 'Operational Maturity Framework.' I am eager to bring my expertise in high-availability configurations and performance tuning to help your clients optimize their geospatial data ecosystems and achieve long-term success.
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Описание вакансии
Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to deliver cutting-edge services and solutions.We're committed to helping global enterprises overcome their toughest data challenges.
phData is a remote-first global company with employees based in the United States, Latin America, and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership, and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.
- 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)
- Fivetran, dbt, Atlation, and AWS Partner of the Year
- #1 Partner in Snowflake Advanced Certifications
- 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)
Recognized as an award-winning workplace in the US, India, and LATAM
Join phData’s Elastic Platform Operations (EPO) team as a Solutions Architect (ArcGIS), providing industry-leading managed services for our customer’s modern data platforms.
About You:
You are a strategic thinker with a passion for building scalable solutions. With a strong technical background, you excel in driving data platform implementations and managing complex projects. Your expertise in ArcGIS is complemented by a deep understanding of how to align data infrastructure with strategic business goals.
You have a proven track record in professional consulting, building scalable, secure solutions that optimize data platform performance. You thrive in environments that challenge you to think critically and optimize systems for continuous improvement.
As a part of our Managed Services team, you are driven by a commitment to customer success and long-term growth. You embrace best practices, champion effective platform management, and contribute to the evolution of data platforms by promoting phData’s Operational Maturity Framework. Your approach is hands-on, collaborative, and results-oriented, making you a key player in ensuring clients' ongoing success.
Key Responsibilities:
Technical Leadership:
- Lead the design, architecture, and implementation of large-scale data platform projects on Snowflake, AWS, and Azure.
- Guide technical teams through data migration, integration, and performance optimization.
- Platform Optimization, Integration, and Automation:
- Drive platform optimization through automation and DevOps best practices, strengthening the scalability, observability, and performance of modern cloud data platforms (e.g., Snowflake).
- Enable seamless integration of ArcGIS within broader data ecosystems, supporting reliable geospatial data access alongside enterprise analytics platforms such as Snowflake.
- Platform Security:
- Implement security best practices, including user authentication, role-based access, and data governance.
- Process Engineering:
- Adapt to evolving platform environments, technologies, and data requirements by debugging, enhancing features, and re-engineering workflows as needed.
- Plan proactively for changes in data sources or systems to minimize disruptions and ensure scalability.
- Consulting Leadership:
- Manage multiple client engagements, ensuring timely delivery of projects and optimizing system operations to maximize value.
- Serve as a trusted advisor, offering strategic guidance on platform optimization and addressing technical challenges to meet business objectives.
- Cross-functional Collaboration & Mentorship:
- Work closely with infrastructure, engineering, and support teams to deliver successful outcomes and ensure client satisfaction.
- Provide mentorship and technical guidance to junior team members, promoting a culture of learning and excellence.
Key Skills and Experience:
Required:
- ArcGIS Expertise: 3+ years of hands-on experience managing, developing, or administering ArcGIS Enterprise solutions.
- Client-Facing Skills: Strong communication skills, with experience presenting to executive stakeholders and creating detailed solution documentation.
- System Monitoring and Tuning: Proven skills in monitoring ArcGIS Enterprise systems for performance and stability, troubleshooting issues, and optimizing system functionality.
- Performance Investigations: Expertise in investigating performance issues, identifying root causes, and implementing solutions.
- Python Proficiency: Strong programming experience, particularly for task automation and operational efficiency.
- Enterprise Administration: Demonstrated experience with the installation, configuration, and administration of ArcGIS Enterprise.
- High Availability Configuration: Practical experience setting up and managing High Availability environments for ArcGIS Enterprise to ensure system reliability and uptime.
- User Support: Ability to resolve user issues related to ArcGIS components efficiently and effectively.
- DevOps and Infrastructure: Proficiency in infrastructure-as-code (IaC) tools like Terraform or CloudFormation, and experience with CI/CD pipelines (e.g., Bitbucket, GitHub).
- IT Operations: Build and manage scalable, secure platforms aligned with strategic goals. Excel at optimizing systems and driving continuous improvement in platform performance.
Preferred:
- Enterprise IT Knowledge: Familiarity with enterprise IT environments, including database systems, network infrastructures, and security protocols.
- Certifications: ArcGIS Enterprise Administration Professional or similar ArcGIS certifications.
- Cloud Expertise: Deep knowledge of AWS, Azure, and Snowflake ecosystems, including services like S3, ADLS, Kinesis, Data Factory, DBT, and Kafka.
- Data Platforms: Extensive experience managing enterprise data platforms (e.g., Snowflake, Redshift, Azure Data Warehouse) with strong skills in performance tuning and troubleshooting.
Education:
- A Bachelor’s degree in Computer Science, Engineering, or a related field is highly preferred
- Advanced degrees or equivalent certifications are preferred.
Why Join Us:
- Innovative Technology: Work with leading data platforms and cloud-native solutions that drive impact for global enterprises.
- Career Growth: Advance your skills with continuous learning and challenging projects.
- Creative Culture: Be part of a dynamic, fast-growing team that values innovation and new ideas.
Remote Flexibility: Collaborate with a global team.
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.
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Навыки
- ArcGIS
- Snowflake
- AWS
- Azure
- Python
- Terraform
- CloudFormation
- DevOps
- CI/CD
- dbt
- S3
- Kafka
- Data Governance
Возможные вопросы на собеседовании
Проверка практического опыта обеспечения отказоустойчивости критически важных систем.
Опишите ваш опыт настройки и управления средами High Availability для ArcGIS Enterprise. С какими основными трудностями вы сталкивались?
Оценка навыков автоматизации и владения Python в контексте администрирования.
Какие задачи по администрированию ArcGIS вы автоматизировали с помощью Python и как это повлияло на эффективность работы команды?
Проверка умения интегрировать специализированные ГИС-решения в общую аналитическую инфраструктуру.
Как бы вы спроектировали интеграцию ArcGIS с облачным хранилищем данных, таким как Snowflake, для обеспечения бесшовного доступа к геопространственным данным?
Оценка навыков DevOps и владения инструментами IaC.
Каков ваш опыт использования Terraform или CloudFormation для развертывания инфраструктуры ArcGIS в облаке?
Проверка навыков траблшутинга и оптимизации производительности.
Расскажите о случае, когда вы проводили расследование серьезного падения производительности платформы. Какие инструменты вы использовали и каков был результат?
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