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Data Architect (100% Remote, Anywhere in the USA)

Posted 17 days agoViewed

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💎 Seniority level: Lead, A minimum of 8 years

📍 Location: USA

💸 Salary: 220000.0 - 240000.0 USD per year

🔍 Industry: Personal finance

🗣️ Languages: English

⏳ Experience: A minimum of 8 years

🪄 Skills: AWSLeadershipPythonSQLDesign PatternsETLJavaPeople ManagementSnowflakeStrategyAirflowData engineeringServerlessCommunication SkillsDocumentationScala

Requirements:
  • A minimum of 8 years of experience in data engineering, focusing on data pipeline development and cloud solutions.
  • Bachelor’s or master’s degree in computer science, IT, Data Science, Engineering, or a related field.
  • Experience in building and leading technical teams.
  • Proven experience managing scalable data platforms, preferably in AWS.
  • Expertise in AWS services such as S3, Airflow, DBT, GLUE, and LAMBDA.
  • Proficient in SQL and with at least one programming language (Python, Java, or Scala).
  • Strong understanding of data warehousing, ETL processes, and data governance.
  • Excellent problem-solving and communication skills.
Responsibilities:
  • Architect and design scalable data solutions considering business needs and industry trends.
  • Enforce common data design patterns and establish architecture standards.
  • Monitor data platform performance and implement improvements.
  • Implement security measures for sensitive data.
  • Mentor junior team members and promote a culture of learning.
  • Communicate complex data concepts to non-technical stakeholders.
  • Develop training materials and conduct training sessions.
  • Document designs and maintain project documentation.
  • Partner with team leads for internal process improvements.
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🏢 Company: GOBankingRates

  • Minimum of 8 years of experience in data engineering with focus on data pipeline development and cloud-based solutions.
  • Bachelor's or master's degree in relevant field such as Computer Science or Engineering.
  • Experience managing high-performing technical teams including hiring.
  • Proven experience with scalable data platforms in cloud environments (AWS).
  • Familiarity with AWS services such as S3, Airflow, DBT, GLUE, LAMBDA, and expert-level experience in Snowflake preferred.
  • Proficient in SQL and at least one programming language such as Python, Java, or Scala.
  • Strong understanding of data warehousing, ETL processes, data governance, and data quality management.
  • Excellent communication skills for both technical and non-technical audiences.

  • Architect and design data solutions including scalable data platforms.
  • Enforce common data design patterns and establish best practices.
  • Ensure optimal data platform performance and implement security measures.
  • Mentor junior team members and foster a culture of learning.
  • Communicate complex data strategies to non-technical stakeholders.
  • Develop training materials and conduct sessions on AWS services.
  • Document technology platforms and manage project/architecture design reviews.

AWSLeadershipPythonSQLDesign PatternsETLJavaPeople ManagementSnowflakeStrategyAirflowData engineeringServerlessCommunication SkillsScalaData modeling

Posted about 1 month ago
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