16 days ago

Data Architect at ReCharge Payments

70% 40 hours / week Worldwide (Remote)
Paid health insurance
Home office allowance
Retirement or pension contribution program
Unlimited paid holidays

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: #day-one, #ownership, #empathy, #humility.
  • 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.
  • Evaluate and recommend software tools that minimize development friction, and improve team velocity. Replace and implement tools and components as needed to meet the organizations changing technical environment and data needs.
  • Facilitate data transformation, normalization, cleansing, aggregation, workflow management, and business rule application.
  • Design analytic components that detect data quality issues, assist in identifying root causes, and improve the reaction time to implement fixes, and 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, DBT, Spark)
  • 4+ years of hands-on experience in collection, mining, reporting, and analysis of large amounts of data
  • Experience designing, implementing and managing highly scalable data driven platforms that are performant and timely. ,
  • Experience in a variety of data storage platforms (Snowflake {preferred}, Redshift, MySQL, Postgres, Oracle, RDS, AWS S3)
  • Clear opinions, and understanding of the current data concepts and architectures (Lamda, Kappa, Data Lakes, Delta Lakes, Streaming, Near Real Time)
  • Expert proficiency in SQL
  • Proven track record of innovation and expertise in data engineering
  • Strong stakeholder interaction and influence experience at executive, business stakeholder, and engineering team levels
  • Bachelor degree or equivalent experience