Senior Manager Data Platform Engineering

Genesis10 - Green Bay, WI

Full-time - Senior

Remote - Green Bay, WI

Professional, Scientific, and Technical Services

About the position

The Senior Manager Data Platform Engineering will lead teams focused on data engineering and cloud DevOps, playing a critical role in delivering DataOps and MLOps capabilities. This position is responsible for establishing the DevOps strategy for the enterprise data analytics platform and ensuring the availability, observability, security, reliability, and performance of the data platform. The ideal candidate will have a strong background in data architecture, operations, engineering, and innovation.

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.
• Act at the central point of contact for key vendor relationships.

Requirements

• Bachelor's Degree or equivalent combination of education and experience required in Computer Science, Information Technology, Engineering, or related field.
• Master's Degree Preferred.
• 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 with Cloud platforms (AWS, Azure, Google Cloud Platform, Snowflake).
• Hands-on experience with Infrastructure-as-code (IaC) tools such as Terraform, CloudFormation.
• Strong understanding of DevOps 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-haves

• 3-5 years experience with Snowflake and Python.

Benefits

• Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years.
• The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years.
• Access to an experienced, caring recruiting team (more than 7 years of experience, on average).
• Behavioral Health Platform
• Medical, Dental, Vision
• Health Savings Account
• Voluntary Hospital Indemnity (Critical Illness & Accident)
• Voluntary Term Life Insurance
• 401K
• Sick Pay (for applicable states/municipalities)
• Commuter Benefits (Dallas, NYC, SF)
• Remote opportunities available