Hybrid Technical Lead, Data Pipeline

Posted last month

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About the role

  • Lead architectural design discussions and perform comprehensive design reviews for data pipeline solutions
  • Conduct peer reviews of code commits, configurations and automation scripts across Kafka, DevSecOps and development teams
  • Guide data target analysis and support data mapping/modeling initiatives
  • Perform analysis of alternatives to support complex technical decisions
  • Facilitate epic decomposition and story development within Agile planning cycles
  • Provide technical direction for full end-to-end data pipeline solutions
  • Manage 17–19 direct reports, including Kafka engineers, developers, DevSecOps engineers and SRE staff
  • Facilitate daily standups, sprint ceremonies, backlog refinement sessions and other Agile meetings for a 26+ person team
  • Participate in program-wide technical leads meetings and customer stakeholder sessions
  • Identify and resolve cross-team dependencies and technical blockers
  • Provide mentorship to team leads and senior engineers across multiple technical disciplines
  • Interface regularly with customer stakeholders on technical approaches and program direction
  • Coordinate with other technical teams across the larger program ecosystem
  • Participate in SAFe PI planning cycles and Agile ceremonies
  • Facilitate ad-hoc technical decision meetings and design sessions
  • Shape growth, development and culture of the data engineering organization

Requirements

  • Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, Mathematics, Engineering or a related technical field
  • 10+ years of technical experience in data engineering, software development or related technical fields
  • 5+ years leading technical teams of 8 or more engineers
  • Proven ability to analyze complex requirements and translate them into clear, actionable tasks and processes
  • Expert-level Python development experience with focus on data pipeline applications
  • Solutions architecture expertise in data engineering and pipeline design
  • Data mapping and modeling proficiency for complex cybersecurity datasets
  • Confluent Kafka platform expertise, including distributed streaming architecture, data governance frameworks, schema evolution strategies and enterprise-grade cluster management
  • Kubernetes/AWS EKS experience for containerized deployments
  • Infrastructure automation using Ansible, Python scripting and shell scripting
  • Experience with containerization technologies including Docker and Docker Compose
  • AWS cloud services experience in enterprise environments
  • Experience with SAFe/Agile methodologies and ceremony facilitation
  • Strong decomposition skills for complex technical epics and requirements
  • Proven ability to mentor senior engineers and technical specialists
  • Experience managing diverse technical disciplines, including infrastructure, development, DevSecOps and SRE
  • Must be a U.S. citizen and eligible to obtain and maintain a security clearance

Benefits

  • Comprehensive benefits package, including major carriers for health care providers
  • 18 days of PTO
  • 11 holidays
  • 85% of insurance premium covered
  • 401k
  • Continued education, certifications maintenance and reimbursement
  • Continued professional development and career development opportunities
  • Supportive culture focused on creativity, accountability, diversity, inclusion and community giving

Job title

Technical Lead, Data Pipeline

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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