Senior Data Architect

1 day ago


New York, New York, United States Blood Bank of Delmarva Full time
About Us
New York Blood Center Enterprises (NYBCe) is a leading blood bank that provides blood products and services to hospitals and healthcare organizations. Our mission is to cultivate excellence in our organization by merging innovation with customer service, research, and program development. We are seeking a skilled Data Engineering Lead to join our team.

The successful candidate will lead the architectural design and optimization of robust, scalable data pipelines using SQL, Python, and cloud-based ETL tools such as Databricks. They will oversee data flow and processing to support large-scale operations and ensure system-wide efficiency. Additionally, they will direct the development of complex data models to accurately mirror critical business processes, ensuring seamless integration with our comprehensive data architecture, including Big Data frameworks like Spark.

This role requires a strong leader who can shape and enhance our data architecture strategy, making high-level decisions on data storage, consumption, integration, and management across cloud platforms (Azure, AWS, or Google Cloud). The ideal candidate will have expertise with at least one major cloud data platform and deep knowledge of Big Data technologies such as Spark and Cloud ETL tools like Databricks. A senior-level experience with Agile and SCRUM methodologies is also required for this position.

Key Responsibilities
  • Lead the development of complex data models to accurately mirror critical business processes.
  • Shape and enhance our data architecture strategy.
  • Direct the development of data pipelines using SQL, Python, and cloud-based ETL tools.
  • Oversee data flow and processing to support large-scale operations and ensure system-wide efficiency.

Requirements
  • 10+ years of progressive experience in data engineering.
  • Expertise with at least one major cloud data platform (Azure, AWS, or Google Cloud).
  • Deep knowledge of Big Data technologies such as Spark and Cloud ETL tools like Databricks.
  • Senior-level experience with Agile and SCRUM methodologies.

Estimated Salary: $150,000 - $160,000 per year

We offer a competitive salary and benefits package to the right candidate.

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