Data Architect at Brainly in Remote
ROLE SUMMARY Brainly is growing and currently helping 350 million students around the world. This is a challenge to teams at Brainly which are using data to inform decision making and drive insights about our business. To address these challenges Brainly is evolving our business data systems and architecture. You have a chance to be at the center of this exciting effort, making a big impact on the performance and outcomes of business data users at Brainly. We're looking for a data architect to design, and oversee the implementation of Brainly's next generation of data marts and data warehouse. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with talented team members, leveraging cutting-edge technology, and see your efforts affect revenue growth, products, and people regularly. The perfect candidate will have strong knowledge of data mart and data warehouse design which leverages the features and capabilities of Snowflake to take full advantage of this database platform. This is a unique opportunity to work with a results driven team and have an impact on the lives of hundreds of millions of students globally and help us scale one of the fastest-growing and highest-quality consumer learning brands. Brainly is a fun, unique company in a truly exciting phase of its growth. KEY RESPONSIBILITIES Design, consult, and implement data marts and data warehouses using Snowflake. Assess, consult, and implement improvements to Snowflake based data warehouses using Snowflake administrative configuration and capabilities. Assess, consult, and implement improvements to existing Redshift data marts and data warehouses. Define company standards, conventions, training, and reference architectures for data mart and data warehouse design in Snowflake. Collaborate and coordinate with multiple departments, stakeholders, partners, and external vendors to proactively design and integrate data requirements into architecture and solution design patterns to be used across Brainly teams. Oversee, advise, and implement the migration of data from legacy systems to Brainly's new data platform. Audit, assess, measure, and improve the performance of solutions and architecture related to data marts and data warehouses in use at Brainly. SUCCESS FACTORS Experience Required 7
years of experience in data engineering and Data Warehousing Experience in implementing best practices for data engineering, such as source control repositories, automated code deployments, data quality frameworks, etc. Experience performing root cause analysis on internal & external data and processes to answer specific business questions & identify opportunities for improvement Experience supporting and working with cross-functional teams in a dynamic environment Experience in a consumer web or mobile company Preferred BA/BS in Computer Science, Math, Physics, or other technical fields Attributes Required Team player who can collaborate well with others to create and implement solutions to address data challenges Honesty, reliability, self-motivation and high level of integrity Ability to listen to stakeholders' requirements and make informed decisions on design that balance different views with a focus on quality and scalability Ability to present complex technical solutions in a clear and simple way Ability to brainstorm and co-create new solutions, both business and technical Ability to learn fast Preferred Proactively looking for improvements and advise on best practices Ability to educate, influence and inspire others Skills and Systems Expert knowledge of Snowflake Expert knowledge of SQL Advanced knowledge of Redshift Advanced knowledge of RDS Highly proficient in Python & SQL Proficient in Spark & distributed databases Familiarity with building & optimizing data pipelines and architectures with Spark or equivalent Working knowledge of workflow management tools and stream processing systems Project management and organizational skills
Salary Range:
$100K -- $150K
Minimum Qualification
Systems Architecture & EngineeringEstimated Salary: $20 to $28 per hour based on qualifications.
years of experience in data engineering and Data Warehousing Experience in implementing best practices for data engineering, such as source control repositories, automated code deployments, data quality frameworks, etc. Experience performing root cause analysis on internal & external data and processes to answer specific business questions & identify opportunities for improvement Experience supporting and working with cross-functional teams in a dynamic environment Experience in a consumer web or mobile company Preferred BA/BS in Computer Science, Math, Physics, or other technical fields Attributes Required Team player who can collaborate well with others to create and implement solutions to address data challenges Honesty, reliability, self-motivation and high level of integrity Ability to listen to stakeholders' requirements and make informed decisions on design that balance different views with a focus on quality and scalability Ability to present complex technical solutions in a clear and simple way Ability to brainstorm and co-create new solutions, both business and technical Ability to learn fast Preferred Proactively looking for improvements and advise on best practices Ability to educate, influence and inspire others Skills and Systems Expert knowledge of Snowflake Expert knowledge of SQL Advanced knowledge of Redshift Advanced knowledge of RDS Highly proficient in Python & SQL Proficient in Spark & distributed databases Familiarity with building & optimizing data pipelines and architectures with Spark or equivalent Working knowledge of workflow management tools and stream processing systems Project management and organizational skills
Salary Range:
$100K -- $150K
Minimum Qualification
Systems Architecture & EngineeringEstimated Salary: $20 to $28 per hour based on qualifications.
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