Lead Data Solutions Developer - Hybrid

Lead Data Solutions Developer - Hybrid 

Austin, TX

BigCommerce is disrupting the e-commerce industry as the SaaS leader for fast- growing, mid-market businesses. We enable our customers to build intuitive and engaging stores to support every stage of their growth. 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 

• Responsible for comprehensive reviews of data flows and processes to ensure appropriate controls and procedures are in place and operating effectively

Who You Are 

• 5 - 8 years of technology background are desired, preferably in data/analytics, and at least some programming experience required 

• Advanced knowledge of SQL, able to optimize queries to make code more performant, experience participating in code review and debugging the code of others

• 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 with BI tools is a plus, Tableau preferred

• 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 

• Possess at least a Bachelor’s degree in a quantitative field (economics, statistics, business, computer science) or equivalent experience, advanced degree a plus 

• 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 

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