Senior Analytics Engineer, Sovrn

• You share Sovrn’s belief that a highly effective engineer is defined as much more than just technical ability, but also someone who uses exceptional interpersonal skills to improve team dynamics and executes on technical work with a long-term strategic vision
• You are a self starter and able to get the job done without direct supervision
• You enjoy leading a collaborative team but are also independently responsible
• You are technically curious and enjoy investigating what is possible
• Defining technical challenges and solving problems with your team to make better software gets you excited
• Excellent understanding of big data processing environments such as Spark and Snowflake
• Proficiency with SQL and Python
• Hands on experience in big data and distributed data processing in the AWS ecosystem
• Experience with data warehousing and data mart design and implementation
• Strong understanding and inner workings of metadata management, data lineage, and data governance
• Strong experience in structured, unstructured, semi-structured data techniques and processes
• Ability to lead problem definition, solution designs, and define implementation work plans
• A creative yet analytical mindset with problem-solving skills
• Excellent communication and collaboration skills
• Ability to understand business domains and translate into data requirements
• Create and maintain data products from data warehouse to user facing outputs such as reports and dashboards
• Staying up to date with industry metrics and anticipate how they can be incorporated into Sovrn data

Desirable

• As a Senior Analytics Engineer, you will be the founding member of a new and important team within Sovrn
• You will interface with business and technical leaders throughout the company to gather requirements for the datasets that drive critical business decisions
• This position plays an integral role in building and maintaining key datasets within our data warehouse and evolving our analytics engineering practices
• Perform architecture design, table design, metric consistency, data modeling, and implementation of a big data platform and analytics applications
• Analyze latest big data and analytics technologies and provide expertise in big data strategies
• Provide governance of business-critical product data sets within Sovrn’s data warehouse and ensure their readiness for data analysts and other internal business users
• Provide technical leadership within the context of the new and growing Data Accessibility team
• Specify data platform components and configurations required for data pipeline implementation
• Implement data pipeline metrics to monitor performance, accuracy, and availability
• Research, implement, and evolve methods to process our data
• Optimize data processing and data access to business intelligence tools
• Provide domain expertise across the organization to enable business growth and development through data services and data models
• Troubleshoot systemic issues and lead improvements