What your day could consist of:
- Architect and Build Pipelines by designing, developing, and maintaining high-throughput data pipelines that seamlessly transform data across our ecosystem
- Execute Data Modeling and Schema Design, utilizing DDL and DML operations to optimize data structures for both performance and long-term scalability
- Champion Engineering Excellence by implementing automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform) to ensure system health and reliability.
- Collaborate Cross-Functionally with Data Science and AI teams to engineer feature stores and automated MLOps pipelines, moving cutting-edge research into live production environments
- Drive System Monitoring and health checks, ensuring our containerized and orchestrated environments (Kubernetes, Docker, Airflow) run at peak efficiency.
- Act as a Technical Advisor to stakeholders, translating complex data architectures into clear, non-technical conversations that guide business decisions
Technical environment:
- Databases: MySQL, Amazon Aurora, Amazon RDS, PostgreSQL
- ata Storage and Analytics: AWS S3, Apache Iceberg, Snowflake, Apache Druid, Looker
- Data Processing and Transformation: Apache Spark, DBT
- Languages: Python (primary)
- Infrastructure as Code: Terraform
- Containerization and Orchestration: Kubernetes, Docker, Airflow
The Ideal Candidate Will Bring:
- 4+ years of professional software engineering experience, with a proven track record of building and maintaining production-grade data systems.
- Deep Data Architecture expertise, with the ability to design modern data stack components and schemas that balance immediate performance with future growth.
- Proficiency in Infrastructure as Code, specifically using Terraform to manage and deploy your own infrastructure.
- A high level of software rigor, including a strong background in automated testing, CI/CD, and general software engineering best practices
- Expert-level SQL skills (particularly MySQL), with a focus on optimizing complex queries for maximum performance.
- Experience in a modern technical environment, ideally having worked with Python, AWS (S3, Aurora, RDS), Snowflake, Apache Spark, and DBT
- Exceptional communication skills, with the talent to distill complex technical concepts into clear, actionable insights for both technical and non-technical peers
Skills Required
- 4+ years professional software engineering experience
- Deep understanding of modern data stack components
- Proficient with Terraform for infrastructure management
- Strong background in software engineering best practices
- Expert-level SQL skills, especially in MySQL
- Ability to communicate technical ideas to non-technical stakeholders
What We Do
ActiveCampaign helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on ActiveCampaign’s mix of pre-built automations and integrations (including Facebook, Google, WordPress, Salesforce, Shopify, and Square) to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. ActiveCampaign holds the highest customer satisfaction rating among Marketing Automation, E-Commerce Personalization, Landing Page Builders, and CRM solutions on G2.com and is one of only a handful of software solutions with over 10,000 positive reviews. ActiveCampaign has also been named the Top Rated Email Marketing Software on TrustRadius. Learn more and start your free trial at ActiveCampaign.com.
Why Work With Us
We are focused on our employees, our customers, and even our customer's customers. Ideas are valued over titles, contributions are valued over appearances, helping a co-worker is more important than outshining them. We are passionate about diversity and inclusion, believing everyone has a voice and can make a difference.
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