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Data Platform Engineering Lead

INUIX Consulting
Irvine, United States
16 days ago
Apply on www.dice.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

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
+11 more
Gitlab Data Lakes Kubernetes Infrastructure Automation Frameworks Machine Learning Operations Cloudwatch Terraform Data Pipelines Docker Jenkins Databricks

Job 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.

Requirements

  • 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

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