Data Engineering Lead — Data, Cloud and AI
About The Position
At Electric Mind, Engineering is where strategy meets action. Our team helps organizations cut through complexityâaligning business ambition with technology execution to unlock real, lasting change. Youâll work alongside curious, driven people tackling high-impact challenges for everyone from scaling startups to global enterprises. Each engagement is different, pushing you to learn, adapt, and grow. Electric Mindâs Technology Practice brings together deep engineering expertise, modern delivery disciplines, and pragmatic architectural thinking to help clients execute complex, mission-critical transformation. We design and implement scalable, secure, high-impact technology solutions that accelerate business outcomes. At Electric Mind, Engineering is where strategy meets action. Our team helps organizations cut through complexityâaligning business ambition with technology execution to unlock real, lasting change. Youâll work alongside curious, driven people tackling high-impact challenges for everyone from scaling startups to global enterprises. Each engagement is different, pushing you to learn, adapt, and grow. Electric Mindâs Technology Practice brings together deep engineering expertise, modern delivery disciplines, and pragmatic architectural thinking to help clients execute complex, mission-critical transformation. We design and implement scalable, secure, high-impact technology solutions that accelerate business outcomes. Role Overview We are seeking a senior hands-on engineering lead who has experience with data architecture, created unique data and analytics designs and built modern cloud-based data platforms that support analytics, AI, and machine learning workloads. This role requires deep engineering expertise combined with understanding of data architecture and platform engineering.
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
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
- Experience and understanding in Infrastructure-as-Code
- Implement and Integrated to CI/CD pipelines
- Observability and reliability best practices and enablement
- Implement containerized workloads
- Enable ML pipelines and understanding of model deployment and monitoring
- Experience in feature engineering workflows
- Collaborate with data scientists and architects
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
