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Data Platform Operations Lead (GCP, PostgreSQL) - Contract
Интересная роль для экспертов по данным с возможностью работы в масштабных облачных проектах GCP. Оценка немного снижена из-за контрактного характера работы (6 месяцев), хотя и с высокой вероятностью продления.
Сложность вакансии
Высокая сложность обусловлена необходимостью глубокой экспертизы в PostgreSQL/AlloyDB и опытом работы в строго регламентированных средах FedRAMP. Роль требует сочетания навыков технического лидерства, операционного управления (SRE/DevOps) и прямого взаимодействия с государственными заказчиками.
Анализ зарплаты
Предлагаемая роль лидера в области Data Operations в США обычно оплачивается выше среднего по рынку из-за требований к Public Trust и опыту в FedRAMP. Рыночные оценки для Senior/Lead ролей в облачных данных варьируются от $160k до $210k в год.
Сопроводительное письмо
I am writing to express my strong interest in the Data Platform Operations Lead position at 540. With over 8 years of experience in database engineering and a deep specialization in PostgreSQL and Google Cloud Platform, I am confident in my ability to drive operational excellence for your AlloyDB-based platform. My background includes managing mission-critical data systems within highly regulated FedRAMP environments, which aligns perfectly with the requirements of this role.
Throughout my career, I have successfully led production operations, focusing on performance tuning, query optimization, and the implementation of robust SLI/SLO frameworks. I am particularly drawn to this opportunity because of the chance to serve as an embedded SME, bridging the gap between complex technical architecture and strategic mission objectives. I am eager to bring my expertise in Dataflow, BigQuery, and infrastructure resilience to support 540’s federal clients and ensure the long-term success of their data platforms.
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Присоединяйтесь к команде 540 в качестве лидера по эксплуатации платформ данных и внедряйте инновации в среде GCP FedRAMP!
Описание вакансии
540 is seeking a Data Platform Operations Lead to serve as an embedded SME and advisor, driving operational excellence, performance optimization, and production readiness for an AlloyDB-based platform in a FedRAMP High environment. You’ll join a high-impact team supporting a mission-critical data platform built on Google Cloud Platform (GCP). In this role, you will bridge the gap between complex database architecture and mission objectives, serving as a strategic liaison to client stakeholders while overseeing the technical evolution of the platform’s operations. This is a hands-on leadership role requiring deep expertise in PostgreSQL, Infrastructure as Code (IaC) and cloud-based data platform operations.
Location: Remote friendly within the continental United States
Citizenship & Clearance Requirement: per client requirements, must be a U.S. Citizen with the ability to obtain a Public Trust clearance
Education Requirement: Bachelor’s Degree
Contract Duration: Initial 6-month contract (40 hours/week), with strong likelihood of extension and potential for long-term or full-time conversion based on performance and program needs
HOW YOU’LL DRIVE IMPACT
- Serve as an embedded SME and lead advisor for the data platform operations team supporting a production GCP environment
- Drive operational readiness, including development and refinement of runbooks, SOPs, escalation procedures, and day-two support processes
- Provide hands-on support for production incidents, including troubleshooting, root cause analysis (RCA), and long-term remediation
- Monitor system health, logs, and performance metrics to identify risks and optimization opportunities
- Lead PostgreSQL / AlloyDB performance tuning, including indexing strategies, query optimization, and maintenance practices
- Provide guidance across GCP services including Dataflow, BigQuery, Pub/Sub, Cloud Functions, and Dataplex
- Support release management, including database deployments and rollback strategies
- Contribute to resiliency planning, including backup/recovery, disaster recovery (DR), and high availability (HA)
- Develop and maintain operational documentation and technical artifacts aligned to production needs
- Serve as the primary technical point of contact for client stakeholders, providing strategic database roadmaps and defending technical architectural decisions during program reviews
REQUIRED SKILLS & EXPERIENCE
- 8+ years of experience in data engineering, database engineering, or platform operations
- Strong experience supporting production data platforms in cloud environments
- Deep, hands-on expertise in PostgreSQL (performance tuning, indexing, query optimization, vacuuming, maintenance)
- Experience supporting PostgreSQL in production at scale (large datasets, high availability environments)
- Experience with AlloyDB or similar PostgreSQL-based managed database services
- Hands-on experience with Google Cloud Platform (GCP), including data and streaming services
- Experience with Dataflow, BigQuery, Pub/Sub, Cloud Functions, and/or Dataplex
- Experience with data lifecycle management, retention policies, data governance and cataloging
- Proven experience in production operations, including incident response and root cause analysis
- Hands-on experience with SLIs/SLOs/SLAs, including defining reliability targets, implementing monitoring and using error budgets to guide operational decisions and platform improvements
- Proven track record of institutionalizing operational knowledge through technical writing
- Experience supporting release management and database deployment processes
- Experience working in FedRAMP or regulated cloud environments
- Strong communication skills and ability to work directly with engineering teams and stakeholders
- Demonstrated ability to take ownership, lead operational efforts, and deliver in a fast-paced environment
NICE TO HAVE SKILLS & EXPERIENCE
- Google Cloud certifications (Data Engineer, Cloud Architect, Cloud Database Engineer)
- CompTIA Security+ certification
- Experience supporting systems at or near production launch
- Background in high availability (HA), disaster recovery (DR), and backup strategies
- Experience identifying and resolving performance bottlenecks using logs and system metrics
- Prior experience in a client-facing or embedded advisory role
- Experience working with federal customers or within government contracting environments
- Familiarity with maintaining architecture diagrams and technical documentation repositories
- Experience supporting day-two operations for cloud-native data platforms
EQUAL EMPLOYMENT OPPORTUNITY (EEO)
540's policy is to provide equal employment opportunity to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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Навыки
- FedRAMP
- SRE
- PostgreSQL
- Google Cloud Platform
- BigQuery
- Infrastructure as Code
- AlloyDB
- Google Cloud Dataflow
- Google Cloud Pub/Sub
- Google Cloud Functions
- Data Governance
- Performance Tuning
Возможные вопросы на собеседовании
Роль требует глубоких знаний PostgreSQL. Этот вопрос проверяет понимание внутренних механизмов базы данных для оптимизации производительности.
Расскажите о вашем опыте настройки параметров автовакуума (autovacuum) в высоконагруженных средах PostgreSQL. Какие метрики вы отслеживаете для предотвращения раздувания таблиц (bloat)?
Вакансия ориентирована на AlloyDB. Важно понять, знает ли кандидат специфические преимущества и отличия этого сервиса от стандартного PostgreSQL.
В чем, по вашему мнению, заключаются основные эксплуатационные преимущества AlloyDB по сравнению со стандартным PostgreSQL в GCP, особенно в контексте аналитических нагрузок и масштабируемости?
Работа ведется в среде FedRAMP High. Кандидат должен понимать специфику безопасности и комплаенса.
Какие специфические требования к безопасности и управлению данными вы учитываете при работе в среде FedRAMP High, и как это влияет на процессы CI/CD для баз данных?
Вакансия подразумевает роль Lead. Вопрос проверяет умение выстраивать процессы мониторинга и надежности.
Опишите процесс внедрения SLIs и SLOs для платформы данных. Какие именно показатели вы бы выбрали для оценки надежности конвейеров Dataflow и хранилищ BigQuery?
Роль включает управление инцидентами. Важно оценить аналитические способности и системный подход к решению проблем.
Приведите пример сложного инцидента в производственной базе данных, которым вы руководили. Как вы организовали процесс поиска первопричины (RCA) и какие долгосрочные меры были приняты?
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