Senior Manager Data Platform Engineering

1 day ago


Green Bay, Wisconsin, United States Genesis10 Full time
Job Description

Genesis10 is seeking a Senior Manager Data Platform Engineering to lead our data engineering team. The ideal candidate will have a strong background in leading teams focused on data engineering and cloud dev ops, with extensive experience in architecting DataOps.

Key Responsibilities:
  • Develop and execute the data platform DataOps technical strategy and roadmap of capabilities ensuring scalability, reliability, reusability, observability, security, and performance.
  • Lead and mentor a team of data platform engineers and platform administrators, fostering a culture of innovation and agility.
  • Design and implement scalable data infrastructure solutions that support both real-time and batch processing.
  • Build MLOps capabilities for the enterprise to enable efficient, compliant, and reliable machine learning models into production.
  • Stay abreast of the latest data innovation and support the team in regularly performing POVs to understand which capabilities can enable the enterprise to make more data-based decisions.
  • Enable automation initiatives to streamline deployment, monitoring, and management processes using tools like Terraform.
  • Oversee the day-to-day operations of our cloud data platform infrastructure, including monitoring, performance optimization, and cost management.
  • Build and enable Disaster Recovery and Business Continuity Plan capabilities for the platform privacy.
  • Implement best practices for cloud data platform security and compliance, ensuring data protections and.
  • Act at the central point of contact for key vendor relationships.
Qualifications:
  • Bachelor's Degree or equivalent combination of education and experience required in Computer Science, Information Technology, Engineering, or related field.
  • Master's Degree Preferred.
  • 3-5 years experience with Snowflake.
  • 8+ years of experience building and leading high performing teams focused on DataOps, Client Ops, data engineering or related field.
  • 3-5 years of experience Cloud platforms (AWS, Azure, GCP, Snowflake).
  • Hands on experience with Infrastructure-as-code (IaC) tools such as Terraform, CloudFormation.
  • Strong understanding of Dev-ops principles.
  • Deep understanding of data management principles, data integration techniques, and ETL/ELT processes.
  • Experience with DataOps tools and technologies (i.e. Airflow, Kafka, Spark, etc).
  • Solid understanding of cloud security best practices, including network security, identity management, and data protection.
  • Experience automating and monitoring machine learning workflows and model deployment techniques.
  • Understanding of containerization technologies such as Docker or Kubernetes.

Nice to Have:

  • 3-5 years experience with Python.


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