We at Andmore are seeking a technically skilled and business-aware Data Architect to lead the development of scalable data infrastructure that powers B2B marketing analytics and decision-making. This role requires deep expertise inââSnowflake and the ability to collaborate with marketing technology teams front-end developers and CRM specialists to deliver data solutions that support customer engagement and internal operations.
Key Responsibilities:
- Design and optimize data pipelines and models using DBT and Snowflake tailored to B2B marketing use cases.
- Design and implement logical and physical data models (e.g. dimensional modeling) to represent analytics use-cases.
- Lead technical discussions with front-end developers (e.g. Power BI specialists) marketing analysts and CRM engineers to ensure data structures support reporting and analytics needs.
- Collaborate with marketing operations and CRM teams (Microsoft Dynamics) to integrate and harmonize data across platforms enabling unified customer views and actionable insights.
- Translate functional marketing requirements into technical specifications by asking targeted questions and proposing scalable data architecture solutions.
- Implement data governance and metadata management using tools like Snowflake or Microsoft Purview ensuring compliance and transparency.
- Support self-service analytics and dashboarding through Power BI enabling marketing teams to explore campaign performance and audience behavior.
- Monitor and troubleshoot data workflows ensuring high availability data quality and performance across marketing data assets.
- Contribute to the evolution of the marketing data stack including experimentation with new tools and architecture patterns.
Required Qualifications:
- Bachelors degree in Computer Science Engineering Information Systems or a related field.
- 7 years of experience in data engineering with a strong focus on cloud-based data platforms and data modeling.
- Proven expertise in Snowflake.
- Strong SQL skills and experience with dimensional modeling for marketing and activity data.
- Experience working with marketing data sources such as CRM web analytics and campaign management platforms.
- Excellent communication skills with a focus on technical collaboration across teams.
- Ability to design and implement scalable data architecture solutions.
Recommended Skills & Tools:
- Familiarity with Snowflake or Microsoft Purview for data governance and cataloging.
- Experience integrating data from Microsoft Dynamics and other B2B Marketing platforms.
- Experience with DBT for data transformations
- Working knowledge of Power BI for dashboarding and reporting.
- Understanding of data privacy compliance (e.g. GDPR) and security best practices.
- Strategic thinker with a proactive approach to problem-solving.
- Strong interpersonal and technical collaboration skills.
- Passion for continuous learning and staying current with data engineering trends.
We at Andmore are seeking a technically skilled and business-aware Data Architect to lead the development of scalable data infrastructure that powers B2B marketing analytics and decision-making. This role requires deep expertise inââSnowflake and the ability to collaborate with marketing technology ...
We at Andmore are seeking a technically skilled and business-aware Data Architect to lead the development of scalable data infrastructure that powers B2B marketing analytics and decision-making. This role requires deep expertise inââSnowflake and the ability to collaborate with marketing technology teams front-end developers and CRM specialists to deliver data solutions that support customer engagement and internal operations.
Key Responsibilities:
- Design and optimize data pipelines and models using DBT and Snowflake tailored to B2B marketing use cases.
- Design and implement logical and physical data models (e.g. dimensional modeling) to represent analytics use-cases.
- Lead technical discussions with front-end developers (e.g. Power BI specialists) marketing analysts and CRM engineers to ensure data structures support reporting and analytics needs.
- Collaborate with marketing operations and CRM teams (Microsoft Dynamics) to integrate and harmonize data across platforms enabling unified customer views and actionable insights.
- Translate functional marketing requirements into technical specifications by asking targeted questions and proposing scalable data architecture solutions.
- Implement data governance and metadata management using tools like Snowflake or Microsoft Purview ensuring compliance and transparency.
- Support self-service analytics and dashboarding through Power BI enabling marketing teams to explore campaign performance and audience behavior.
- Monitor and troubleshoot data workflows ensuring high availability data quality and performance across marketing data assets.
- Contribute to the evolution of the marketing data stack including experimentation with new tools and architecture patterns.
Required Qualifications:
- Bachelors degree in Computer Science Engineering Information Systems or a related field.
- 7 years of experience in data engineering with a strong focus on cloud-based data platforms and data modeling.
- Proven expertise in Snowflake.
- Strong SQL skills and experience with dimensional modeling for marketing and activity data.
- Experience working with marketing data sources such as CRM web analytics and campaign management platforms.
- Excellent communication skills with a focus on technical collaboration across teams.
- Ability to design and implement scalable data architecture solutions.
Recommended Skills & Tools:
- Familiarity with Snowflake or Microsoft Purview for data governance and cataloging.
- Experience integrating data from Microsoft Dynamics and other B2B Marketing platforms.
- Experience with DBT for data transformations
- Working knowledge of Power BI for dashboarding and reporting.
- Understanding of data privacy compliance (e.g. GDPR) and security best practices.
- Strategic thinker with a proactive approach to problem-solving.
- Strong interpersonal and technical collaboration skills.
- Passion for continuous learning and staying current with data engineering trends.
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