Data Engineering Manager — Data, Cloud and AI

New York Metropolitan AreaFull Time Permanentmid

EngineeringData ScienceOtherData EngineeringManagementEngineering ManagerData Engineering Manager

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Quick Summary

Overview

Technical Tools

bigquerygcppythonsnowflakesqlci-cddatabase-designmachine-learning

At Electric Mind, Engineering is where strategy meets action. Our team helps organizations cut through complexity—aligning business ambition with technology execution to unlock real, lasting change. You’ll 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 Mind’s 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.

Data Engineering

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

Cloud & Platform Engineering

Experience and understanding in Infrastructure-as-Code

Implement and Integrated to CI/CD pipelines

Observability and reliability best practices and enablement

Implement containerized workloads

AI / ML Engineering

Enable ML pipelines and understanding of model deployment and monitoring

Experience in feature engineering workflows

Collaborate with data scientists and architects

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

 You will help shape enterprise technology strategy for industry-leading clients while influencing the growth of Electric Mind’s engineering culture. You will work on high-impact, high-visibility programs and help mentor the next generation of technical leaders. 

About Electric Mind

Electric Mind is a fast-growing, AI-native advisory and digital engineering firm built for those who want to shape the future, not just watch it happen. We blend premium strategy expertise with cutting-edge AI-centric engineering to solve complex, meaningful problems for industry-leading clients. 

We pride ourselves on a high-touch delivery model and a culture that values diverse talent, innovation, and true client partnership — creating an environment where your ideas matter and your impact is visible. 

If you’re looking for a place where you can grow fast, collaborate with exceptional teammates, and help build a company scaling its capabilities and global footprint at speed — Electric Mind is the place to ignite your career. The future is bright! 

For more info on Electric Mind, check out our Careers Page and Instagram.

Electric Mind is committed to diversity in the workplace. We are an inclusive employer and welcome and encourage applications from all qualified candidates. Applicants’ needs will be accommodated during our recruitment and selection process so please advise us if you require accommodation.