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Senior Data Architect

2 months ago

Boulder, Colorado, United States Bayforce Full time
Job Title: Senior Data Engineer

Bayforce is seeking a highly skilled Senior Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining large-scale data systems and workflows.

Key Responsibilities:
  • Data Workflow Development: Design and implement efficient, scalable, and reliable data workflows using Databricks, PySpark, and SQL to handle large datasets.
  • Airflow Optimization and Implementation: Lead efforts to set up, maintain, and optimize Airflow, providing the engineering team with guidance on best practices.
  • Environment Setup: Work closely with the environment manager to set up and maintain various environments (development, testing, and production) optimized for both performance and cost.
  • Operational Data Systems: Collaborate on the design and development of operational data systems, ensuring they meet the needs of performance, scalability, and availability.
  • Optimization: Constantly monitor and adjust data processes to optimize resource utilization and minimize delays in data handling.
  • Best Practices: Develop and enforce best practices for coding, testing, documentation, and deployment within the data engineering team.
Requirements:
  • 5+ years in data engineering, focusing on managing large-scale environments and building complex data workflows.
  • Databricks: Extensive hands-on experience.
  • Airflow: Strong expertise in job scheduling and automation with Airflow.
  • Snowflake: Deep knowledge of Snowflake as a data warehousing tool.
  • PySpark: Advanced proficiency in PySpark for distributed data operations.
  • Python: Solid Python skills for scripting and building data workflows.
  • SQL: Expert-level SQL for managing and querying data.
  • Environment Management: Proven experience managing cloud-based environments.
  • Operational Data Stores: Experience in creating and managing operational data systems.
  • Bachelor's degree in Computer Science, Information Systems, or an equivalent field of study, or equivalent work experience.
Preferred Skills:
  • Cloud Platforms: Experience with AWS, Azure, or GCP.
  • Serverless Technologies: Familiarity with designing and implementing serverless solutions.
  • Data Lakes: Hands-on experience with Data Lake/Delta Lake.
  • Event-Driven Pipelines: Experience in designing event-driven data workflows.
  • CI/CD: Knowledge of continuous integration and deployment in a data engineering context.
  • Big Data Tools: Experience with additional tools in the big data space is a plus.