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Senior Data Architect (m/f/d)
Высокий балл обусловлен престижностью компании Moonfare, сложностью задач и локацией в Лондоне — одном из главных финтех-хабов мира. Позиция предлагает реальное влияние на стратегию компании и работу с передовыми технологиями.
Сложность вакансии
Роль требует глубоких знаний в области финансового регулирования и проектирования сложных корпоративных архитектур данных. Кандидат должен обладать как технической экспертизой в ETL и моделировании, так и стратегическим видением для внедрения AI.
Анализ зарплаты
Предлагаемая роль Senior Data Architect в Лондоне соответствует высокому уровню рыночных ожиданий. В финансовом секторе Великобритании зарплаты для таких специалистов обычно выше среднего по рынку ИТ из-за требований к комплаенсу и безопасности.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Architect position at Moonfare. With a proven track record of designing enterprise data architectures within the regulated financial services sector, I am confident in my ability to align Moonfare’s data strategy with its ambitious business objectives. My expertise in both dimensional and operational modeling, combined with a deep understanding of modern cloud-based data platforms, positions me to effectively manage your data assets and drive the adoption of advanced analytics and AI.
Throughout my career, I have successfully delivered complex data integration and ETL projects that ensure high standards of data quality and regulatory compliance. I am particularly drawn to Moonfare’s commitment to excellence and its mission to provide institutional-quality portfolios to a broader range of investors. I look forward to the opportunity to bring my technical leadership and strategic thinking to your engineering team in London.
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Присоединяйтесь к команде Moonfare в Лондоне и станьте архитектором будущего в сфере частных инвестиций!
Описание вакансии
Join the team rewriting the rules in private markets.
Moonfare delivers what few others can: the highly sought-after funds and hidden-gem investments that go beyond what most private banks offer. Every opportunity is subjected to a ruthless vetting process; the bar is unforgivingly high. The result? Institutional-quality portfolios for investors who demand more.
Our team combines finance veterans with talent from tech, consulting, law and industries you’d never expect. Headquartered in Berlin, we operate from eight offices across Europe, the US and Asia.
If you're ready to build what's next in private markets, let's talk.
Senior Data Architect (m/f/d)
We at Moonfare define the role of Data Architect as someone who can design both the data structures (data objects), as well as the data machinery (data pipes, data stores, interfaces) on and through the data objects move.
The data objects have to be designed to reflect our business, satisfy the needs of all stakeholders and allow for efficient processing on data machinery.
Your role is critical in positioning the firm for AI and advanced analytics adoption while ensuring high standards of data quality and security.
You will:
- Act as the lead authority on data architecture, ensuring seamless alignment between business objectives, data strategy, and technology solutions.
- Design and maintain logical and physical data models, schemas, and structures specifically tailored to support reporting, analytics, and effective operational processing. This includes utilizing both dimensional and operational warehouse modeling techniques.
- Oversee data integration processes and recommend management tools to enhance infrastructure, ensuring the accurate and timely flow of data between systems, applications, and platforms.
- Develop a comprehensive data strategy that supports financial business objectives and drives governance frameworks to ensure compliance with strict regulatory requirements and data privacy obligations.
- Manage enterprise data assets, including metadata repositories and data lineage documentation, to ensure they are accessible and up to date
The Next Moonfarian:
- Must have a proven track record in designing and implementing enterprise data architectures within a regulated financial services environment.
- Possesses strong expertise in enterprise data modeling principles, with a specific background in both dimensional and operational modeling applicable to the finance sector.
- Can demonstrate experience in data integration, ETL processes, and database management across multiple platforms.
- Has experience in delivering AI and advanced analytics projects from inception to production.
- is comfortable with modern data platforms, cloud-based technologies (data lake/big data), and tools for metadata management and data lineage.
- Has the ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders across the organization.
If you feel you do not meet all of the requirements, we still encourage you to apply!
Our Values:
- Our clients come first, Moonfare comes second, and we prioritise ourselves third - Client-Centric Focus. Putting clients first means creating value for them is essential. Placing Moonfare second signifies that our individual professional future at Moonfare depends on the company's commercial success. Prioritising ourselves third reflects our humility in putting clients and Moonfare before personal interests.
- We pursue excellence and honor our promises - Commitment to Excellence. We hold ourselves to the highest standards, taking responsibility for our failures, and celebrating our successes. We commit to deadlines and stick to them and we learn from our mistakes.
- We are here to win and to celebrate our collective achievements - Win together. We are mission-focused and think and act like owners. We exemplify the attitude we expect and each of us commits to do what it takes to succeed.
- We foster personal growth but each of us earns our place as a Moonfarian through merit - Growth and Merit. We hire, retain, and develop exceptional people and invest in empowering them to excel. We must all earn our place at the table every day.
We understand the important role that diversity plays in our success. Different backgrounds, experiences and ideas push us further and raise the bar. We’re committed to developing an inclusive and safe culture where everyone — regardless of colour, race, religion, sex, origin, sexuality, disability, marital status, citizenship or gender identity — knows that they are an integral part of the team and can bring their full potential to their work.
\*Minimum investments vary according to jurisdiction.
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Навыки
- Data Architecture
- Data Modeling
- ETL
- Data Integration
- Data Governance
- Metadata Management
- Data Lineage
- Cloud Computing
- Big Data
- Data Lake
- Artificial Intelligence
- Analytics
Возможные вопросы на собеседовании
Проверка опыта работы в жестко регулируемых отраслях, что критично для финтеха.
Как вы обеспечиваете соответствие архитектуры данных требованиям GDPR и финансовым регуляторам при проектировании систем?
Вакансия требует навыков проектирования как хранилищ, так и операционных систем.
В каких случаях вы бы предпочли использование операционного моделирования данных вместо классического дименсионального (Kimball/Inmon)?
Роль предполагает подготовку компании к внедрению ИИ.
Опишите ваш опыт подготовки инфраструктуры данных для проектов машинного обучения: от сбора сырых данных до вывода модели в продакшн.
Важно умение работать с современными облачными стеками.
Какие облачные технологии (например, AWS, Snowflake, Databricks) вы считаете наиболее эффективными для построения масштабируемого Data Lake в финансовом секторе и почему?
Архитектор должен уметь объяснять сложные вещи бизнесу.
Расскажите о случае, когда вам пришлось убеждать нетехнических стейкхолдеров в необходимости изменения стратегии управления данными. Каков был результат?
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