Join Sovrn as an Analytics Engineer II – Boulder, Colorado

At Sovrn, we solve significant challenges for Open Web businesses by empowering them to remain independent while optimizing their operations. Our cutting-edge software and data solutions enable these businesses to enhance their decision-making processes, improve operational efficiency, and boost their profitability.

Our Beliefs

We stand for freedom and the unimpeded flow of information. We believe the Open Web is the most expansive repository of information, and we are committed to supporting the independence of Open Web businesses.

Our Mission

Through our innovative software and data solutions, we help our customers to:

• Gain deeper insights into their businesses for more informed decision-making
• Operate more efficiently to allocate resources to what truly matters
• Maximize their revenue and keep control over their destiny

About Our Team

We are building a new team dedicated to the engineering, evolution, and maintenance of data processing within Sovrn’s Data Collective. This team is responsible for ensuring the transformation, availability, governance, and evolution of derived data. The main goal is to provide critical product insights for Sovrn's internal business leaders.

The team will act as experts on data warehousing and business intelligence tools, fostering collaboration among engineers, data scientists, business analysts, and product managers to enhance data accessibility across our product lines.

About the Role

As the founding member of the new Analytics Engineer II team, you will engage with both business and technical leaders to collect requirements for key datasets that inform critical business decisions. You will play a crucial role in building and maintaining these datasets within our data warehouse while advancing Sovrn's analytics engineering practices.

Key Responsibilities

• Designing architecture, tables, metrics, data models, and implementing big data platforms and analytics applications
• Analyzing and providing expertise in the latest big data and analytics technologies
• Ensuring business-critical product datasets are ready for internal use
• Providing technical leadership within the new Data Accessibility team
• Specifying necessary components and configurations for data pipeline implementation
• Monitoring data pipeline performance, accuracy, and availability
• Researching and evolving data processing methods
• Optimizing data processing and integration with business intelligence tools
• Enabling business growth through data services and models
• Troubleshooting systemic issues and spearheading improvements

About You

You share our core belief that effective engineering is more than just technical prowess. You are a self-starter who thrives both in team settings and independently. Your technical curiosity drives you to explore and push the boundaries of what is possible, and you have a strategic vision to bring long-term solutions to complex problems.

Qualifications

• Strong expertise in big data processing environments (e.g., Spark, Snowflake)
• Proficiency in SQL and Python
• Hands-on experience with AWS ecosystem and big data processing
• Experience in data warehousing and data mart design
• Deep understanding of metadata management, data lineage, and data governance
• Experience handling structured, semi-structured, and unstructured data
• Ability to define problems and lead solution design and implementation
• Strong problem-solving skills and an analytical mindset
• Excellent communication and teamwork abilities
• Capacity to translate business needs into data requirements
• Proficiency in creating and maintaining data products, reports, and dashboards
• Up-to-date knowledge of industry metrics and trends

Bonus Points

• Experience with Snowflake data processing
• Backend Looker optimization and administration experience
• Proficiency in Spark/Scala and Java
• Experience with multiple cloud technologies (AWS, GCP, Azure)
• Knowledge of data security compliance (e.g., PII, CCPA, GDPR)
• Agile/JIRA experience

Compensation and Benefits

In line with