Hybrid Data Engineering Lead – Data, Cloud and AI

Posted 6 hours ago

Apply now

About the role

  • Senior hands-on engineering lead at Electric Mind focusing on data platforms, AI, and analytics. Collaborating with teams on complex, mission-critical transformations in technology solutions.

Responsibilities

  • Contribute and validate the data and analytics architecture
  • Establish engineering standards and best practices
  • Design and build scalable data platforms and solutions using cloud-native services and cloud data platforms
  • Expertise in implementing Data Products
  • Implement ingestion, transformation, and orchestration pipelines
  • Optimize performance and cost
  • Implement and Integrated to CI/CD pipelines
  • Observability and reliability best practices and enablement
  • Enable ML pipelines and understanding of model deployment and monitoring
  • Collaborate with data scientists and architects

Requirements

  • 10+ years data engineering experience
  • Strong Python and SQL skills
  • Experience with at least one cloud provider (GCP priority)
  • Knowledge of ML workflows and platform engineering
  • Experience with DevOps and automation
  • Experience in GCP data services (BigQuery, Dataflow, Vertex AI, Pub/Sub)
  • Experience building framework-based capabilities
  • Experience in Snowflake or Databricks
  • Streaming architectures
  • Experience leveraging AI/LLM code assists
  • Modern data modeling approaches

Benefits

  • Competitive salary
  • Mentorship opportunities
  • High-impact, high-visibility programs

Job title

Data Engineering Lead – Data, Cloud and AI

Job type

Experience level

Senior

Salary

$170,000 - $220,000 per year

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job