Data Architect
ReCharge Payments
Overview
With over 10,000 online merchants launching subscriptions and over 1,000,000 subscribers powered by ReCharge, we have a lot of store owners to support. Our mission to make repeat orders easier began five years ago as a bootstrapped startup and today we're at the forefront of recurring billing software with over 200 remote-first employees around the globe processing hundreds of millions of dollars in sales every month.
We’re looking to hire a Data Architect to provide technical leadership, guidance and to identify, define and build data solutions. This is a ground floor opportunity within a young, rapidly scaling start-up where your data expertise will guide and influence ReCharge’s data adoption and how we incorporate data into processes and various functions.
The centralized Data and Analytics team at ReCharge delivers critical analytic capabilities and insights that drive definition and implementation of our business strategies. The Data Architect opportunity is ideal for someone who is passionate about wrangling and building pipelines for multiple large sets of data from disparate sources to provide end to end data solutions, empowering the organization to meet key business objectives.
As a Data Architect, you will provide critical leadership and architect Recharge’s data landscape. You will combine product usage, behavioral, transactional, business systems, and third-party data into the analytics pipeline. You will work closely with our analytics and engineering teams to implement solutions to answer complex questions and drive business decisions.
What You'll Do
- Live by and champion our values: #ownership, #empathy, #simple-solutions.
- Hands-on leadership, influence, and development of all things data services.
- Develop modern data architectural approaches for business intelligence reporting and analytics, including that for machine learning models and data science, ensuring effectiveness, scalability, and reliability.
- Design, develop, implement, and optimize existing ETL processes that merge data from disparate sources for consumption by data analysts and scientists, business owners, and decisions makers.
- Complete current evaluation of new ETL software options, propose recommendations, and implement the solution.
- Facilitate data transformation, normalization, cleansing, aggregation, workflow management, and business rule application.
- Detect data quality issues, identify their root causes, implement fixes, and design data audits to capture issues.
- Distill technical requirements into the product development and operational process via continuous collaboration with product, engineering, and analytics team members.
- Influence and communicate with all levels of stakeholders including analysts, developers, business users, and executives.
- Use analytics to influence product development, surfacing data around product usage and customer behavior.
- ETL tool evaluation and implementation to prepare for scaling and efficiency
What You'll Bring
- Typically, 6+ years experience in a data engineering related role (Data Warehouse Developer, ETL Developer, Business Intelligence Analytics, Software Engineer) with a track record of manipulating, processing and extracting value from datasets
- Experience designing and developing ETL processes in a variety of platforms (Matillion {preferred}, Pentaho, Microstrategy, Talend, CloverETL, FiveTran, Stitch)
- 4+ years of hands-on experience in collection, mining, reporting, and analysis of large amounts of data
- Experience designing and implementing database tables, as well as performance profiling and tuning of database processes and table usage
- Experience in a variety of data storage platforms (Snowflake {preferred}, Redshift, MySQL, Postgres, Oracle, Redshift, RDS)
- Expert proficiency in SQL
- Proven track record of innovation and expertise in data engineering
- Tenure in architecting and delivering complex projects
- Deep understanding and application of modern data processing technology and real-time/low-latency data pipeline and ETL architectures
- Strong stakeholder interaction and influence experience at executive, business stakeholder, and engineering team levels
- Bachelor degree or equivalent experience
Bonus Skills
- Experience with log aggregation and extraction (Elasticsearch) and Business Intelligence reporting tools (Tableau, etc)
- Experience with analytics platforms (Google Analytics, Mixpanel, etc)
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