> Markdown version of [/jobs/ext/2153239-data-platform-engineering-lead](https://www.wearedevelopers.com/jobs/ext/2153239-data-platform-engineering-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Platform Engineering Lead - **Company:** INUIX Consulting - **Location:** Irvine, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Microsoft Azure, Continuous Integration, DevOps, Github, Python (Programming Language), Site Reliability Engineering Practices, Data Streaming, Enterprise Data Management, Cloud Platform System, Gitlab, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations, Cloudwatch, Terraform, Data Pipelines, Docker, Jenkins, Databricks - **Published:** August 20, 2026 - **Apply:** https://www.dice.com/job-detail/90e809cd-71dc-42ef-86af-bdc366f11853 ## About the Role * dbt * Apache Airflow * AWS * Terraform / IaC * Python * DevOps / CI/CD * Platform Engineering * Asset Management / Investment Management experience, * Experience in Financial Services / Asset Management / Capital Markets. * Strong leadership, architecture, stakeholder management, and problem-solving skills. * Experience with Docker, Kubernetes, MLflow, and Structured Streaming. ## Description * Lead architecture, implementation, and administration of enterprise data platforms. * Design and manage Databricks Lakehouse, Delta Lake, Unity Catalog, DLT, and Workflows. * Build scalable data pipelines using dbt and Airflow. * Lead AWS cloud engineering across S3, EKS, ECS, Lambda, Glue, and CloudWatch. * Develop reusable Terraform modules and automate infrastructure provisioning. * Implement CI/CD and GitOps using GitHub Actions, GitLab, Jenkins, or Azure DevOps. * Establish platform security, governance, monitoring, observability, and SRE practices. * Define SLAs/SLOs, manage incidents, and drive root-cause analysis. * Partner with Asset Management, Portfolio Management, Risk, and Investment Operations teams. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)