Lead Data Solutions Developer

As Lead Data Solutions Developer you will help lead the evolution of our data-driven decision-making at scale across the company. This role will be responsible for building, maintaining, and supporting data warehousing solutions with an emphasis on creating automated and/or algorithmic approaches that reduce or replace manual effort. You will be instrumental in ensuring access to clean, consistent, and logical data to stakeholders in a wide variety of roles.

What You'll Do

• Build and maintain scalable scheduled jobs to extract, load, and transform data, in addition to troubleshooting and fixing problems with existing processes using a modern tech stack that includes Airflow, Snowflake, and AWS
• Establish relationships with key stakeholders and work closely with them in gathering requirements, gaining business context, and completing projects end-to-end
• Connect and explore disparate data sources from production systems, business applications, and third-party data sources
• Build and maintain data models, experiments, algorithms, and related business and financial reporting logic
• Production support required on a rotational basis
• Mentor and coach more junior team members
• Transform low-value datasets into highly structured and consistent data models for use by analysts, data scientists, and reporting tools
• Develop scalable, efficient, and automated processes and data pipelines, in addition to diagnosing and debugging problems with existing structures
• Make recommendations to improve technical systems and infrastructure

Who You Are

• 5 - 8 years of technology background are desired, preferably in data/analytics, and at least some programming experience required
• Possess at least a Bachelor's degree in a quantitative field (economics, statistics, business, computer science) or equivalent experience, advanced degree a plus
• Advanced SQL skills are required
• Scripting skills in 1 or 2 languages (BASH/Python/JavaScript)
• Experience with Cloud OLAP database platforms such as Snowflake, Redshift, BigQuery.
• Familiarity with ETL\ELT processes and common data transformation techniques (e.g. normalization and denormalization, string parsing, primary key generation)
• Experience with version control software such as Git
• Experience pulling data from an API using Python and Airflow (or similar technology)
• A broad exposure to business applications like CRM tools, financial reporting systems, marketing automation tools, etc (Salesforce, Zuora, Marketo)
• Experience in dimensional data modeling
• Exposure to Amazon Web Services, or Linux command
• Quantitative mindset and passion for data
• Able to deal with ambiguity and problem-solve independently
• Self-starter: able to succeed and have an impact with minimal direction
• Ambitious, self-motivated, and goal-oriented
• Excellent time management skills
• Strong communication skills, both verbal and written