Data Engineering Manager — Data, Cloud and AI

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. What You'll Do • 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 What You'll Bring • 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 What You’ll Gain • 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.