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stackadapt
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Senior Big Data Engineer & Database Administrator

ИИОценка ИИ

Отличная вакансия в стабильной и титулованной AdTech компании с прозрачной вилкой зарплаты и широким пакетом льгот. Высокий балл за удаленный формат работы, поддержку обучения и сильную инженерную культуру.


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Сложность вакансии

ЛегкоСложно
ИИОценка ИИ

Роль требует глубоких знаний как в администрировании Snowflake (DBA), так и в разработке сложных ETL-процессов. Высокая планка ожиданий обусловлена необходимостью совмещать техническую экспертизу с наставничеством и проектированием архитектуры данных.

Анализ зарплаты

Медиана120 000 CA$
Рынок105 000 CA$ – 145 000 CA$
ИИОценка ИИ

Предложенная вилка 100,000–125,000 CAD находится в пределах рыночной нормы для Онтарио, однако для позиции уровня Senior с функциями DBA и Data Engineer она ближе к нижней и средней границе рынка. Топовые специалисты в этом регионе могут претендовать на суммы до 140,000-150,000 CAD.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Big Data Engineer & Database Administrator position at StackAdapt. With extensive experience in managing Snowflake environments and designing robust ETL pipelines using Python and SQL, I am confident in my ability to contribute to your Data Lake and Enterprise Data Warehouse ecosystem. My background in implementing Medallion Architecture and Kimball dimensional modeling aligns perfectly with your team's technical requirements.

Throughout my career, I have focused on building scalable data solutions and maintaining high-performance database environments. I am particularly drawn to StackAdapt's innovative approach to programmatic advertising and the opportunity to act as a player-coach for the growing EDO team. I am eager to bring my expertise in AWS cloud services and data orchestration with Airflow to help define the 'Source of Truth' for your organization.

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Составьте идеальное письмо к вакансии с ИИ-агентом

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Откликнитесь в stackadapt уже сейчас

Присоединяйтесь к лидеру в сфере AdTech и станьте ключевым экспертом по Snowflake в StackAdapt!

Описание вакансии

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

What You'll Be Doing:

This role will be responsible for all operational database administration duties, data engineering, and data operations within the Data Lake and Enterprise Data Warehouse (Snowflake) ecosystem including, but not limited, to the following:

  • Take the lead on our daily database administration, ensuring our data environment stays healthy and reliable.
  • Partner closely with our Staff EDW Architect to bring new visions to life, designing high-quality data artifacts that follow industry best practices.
  • Turn business needs into smart, reusable ETL solutions that grow alongside our company.
  • Design end-to-end pipelines using your expertise with data models and architecture diagrams to build automated ingestion and transformation pipelines that keep our data moving on schedule
  • Analyze and produce artifacts such as Source-to-Target Mapping documents.
  • Build pipelines that bring together data from everywhere—whether it’s RDBMS, APIs, JSON, or flat files—creating a seamless flow of information.
  • Define the "Source of Truth" using tools like Python and ETL software to clean, integrate, and transform data into a single, reliable resource the whole company can trust.
  • Provide day-to-day operational support for all the data pipelines by monitoring and investigating alerts, while troubleshooting and remediating production issues in a timely manner.
  • Act as a player-coach for junior and intermediate data engineers and ETL developers as the EDO team grows.

What you’ll bring to the table:

  • Deep experience performing ETL design and development via custom coding (SQL, Python, Spark, Java, etc.) as well as using ETL tools (e.g., Coalesce, Informatica, DataStage, Talend) and other tools such as Data Quality tools, Metadata Manager, etc.
  • Extensive hands-on, professional, experience working with Snowflake as a Database Administrator (DBA) and clear understanding of Snowflake’s Access Control framework
  • Comfortable with Cloud-hosted solutions, especially AWS with experience deploying Secrets Manager, KMS, S3, EC2, Linux, Cross-Account Access, etc in a scaled environment
  • Innate curiosity to fundamentally understand and solve problems. You’re not satisfied until you can clearly explain how and why and error occurred, and you are driven to ensure it never happens again!
  • Understanding of data warehousing architecture fundamentals (e.g., Kimball vs. Inmon, Medallion Architecture, 3NF data models, reference data models, dimensional models, conformed dimensions, SCDs, etc.).
  • Experience in orchestrating data operations via tools such as Apache Airflow, Cron, Astronomer etc.

The compensation range listed for this role reflects the expected base salary for candidates located in Ontario, Canada. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location.

This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.

Factors Influencing Final Compensation:

  • The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.
  • Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.

Ontario Salary Band

$100,000—$125,000 CAD

The compensation range listed for this role reflects the expected hourly rate for candidates located in Ontario, Canada. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location.

This range represents hourly rate only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.

Factors Influencing Final Compensation:

  • The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.
  • Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.

Ontario Hourly Band

$100,000—$125,000 CAD

StackAdapter's Enjoy:

  • Highly competitive salary
  • Retirement/ 401K/ Pension Savings globally
  • Competitive Paid time off packages including birthday's off!
  • Access to a comprehensive mental health care program
  • Health benefits from day one of employment
  • Work from home reimbursements
  • Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
  • Robust training and onboarding program
  • Coverage and support of personal development initiatives (conferences, courses, books etc)
  • Access to StackAdapt programmatic courses and certifications to support continuous learning
  • An awesome parental leave program
  • A friendly, welcoming, and supportive culture
  • Our social and team events!

StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.

We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.

About StackAdapt

We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:

Ad Age Best Places to Work 2024

G2 Top Software and Top Marketing and Advertising Product for 2024

Campaign’s Best Places to Work 2023 for the UK

2024 Best Workplaces for Women and in Canada by Great Place to Work®

#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising

To learn more about our privacy practices, please see our Privacy Policy.

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Навыки

  • AWS
  • Python
  • Linux
  • SQL
  • Snowflake
  • Java
  • Spark
  • AWS S3
  • ETL
  • Data Modeling
  • Apache Airflow
  • Informatica
  • AWS EC2
  • Talend

Возможные вопросы на собеседовании

Проверка глубоких знаний специфики Snowflake, заявленной в требованиях.

Опишите ваш опыт настройки Role-Based Access Control (RBAC) в Snowflake для крупной организации. Какие лучшие практики вы используете?

Оценка навыков проектирования архитектуры хранилищ данных.

В каких случаях вы бы предпочли архитектуру Кимбалла подходу Инмона, и как это соотносится с Medallion Architecture в Snowflake?

Проверка навыков решения проблем в реальном времени.

Расскажите о самом сложном инциденте в работе пайплайна данных, который вы расследовали. Как вы обеспечили предотвращение его повторения?

Оценка опыта работы с облачной инфраструктурой.

Как вы интегрируете AWS Secrets Manager и KMS в свои ETL-процессы на Python для обеспечения безопасности данных?

Проверка лидерских качеств и навыков наставничества.

Как вы подходите к код-ревью и обучению младших инженеров, чтобы повысить общее качество кода в команде?

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stackadapt
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