Data Architect for Propulsion
2 weeks ago
We are on a mission to revolutionize customer lifecycle management with our AI-powered platform, and we need talented individuals like you to help us achieve this goal.
About UsPropel is a rapidly growing company that empowers businesses to achieve sustainable growth through data-driven retention strategies. With three years of industry expertise and a portfolio of over 100 clients, we have established ourselves as a leader in the market.
Our team is passionate about innovation and is committed to delivering exceptional results. We believe in fostering a culture of continuous learning and collaboration, and we are looking for someone who shares these values.
Job DescriptionThe successful candidate will be responsible for designing, building, and scaling our data platform to ensure it is robust, reliable, and cost-efficient. This includes architecting data pipelines for analytics and machine learning systems, developing and maintaining a SaaS connector ecosystem, and optimizing data services to minimize costs without compromising performance.
You will work closely with our CTO to implement software and systems, driving the technical vision of the platform. We require someone who can lead a team of developers, demonstrate strong organizational skills, and maintain meticulous attention to detail.
Requirements- 5+ years of experience in building data platforms for analytics heavy SaaS platforms, ideally having contributed to a 0-1 journey and supported a growing SaaS product.
- Expertise in architecting data pipelines for analytics and ML systems.
- Experience in dealing with clickstream data volume and building high throughput systems.
- Technical Skills: Proficiency in tools like Python, Airflow, Databricks, and Azure services.
- In-depth knowledge of open-source data services and databases internals.
- Familiarity with the Azure cloud platform and its services.
- A key role in shaping how marketing works.
- Competitive salary with high performance incentives ($150,000 - $200,000 per year).
- Flexible work arrangements and a dynamic work environment.
- Experience in building and scaling data platforms for a 0-1 analytics heavy ML SaaS product.
- Proven leadership skills with the ability to manage diverse teams and complex projects.
- Ability to identify and meet business-critical needs through innovative data solutions.
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