Lead DataOps / MLOps
Core
Own the DataOps/MLOps platform and operating model to enable data and ML engineers to build and run pipelines and models reliably for millions of customers.
Role type
Lead DataOps / MLOps Engineer
Builds
Automated data and ML pipelines, model serving infrastructure, and governance controls on Azure Databricks
Domain
Financial services / Insurance / Data & Machine Learning
Deliverable
production ML models | infrastructure
Required skills
CI/CD (Azure DevOps), Orchestration (Dagster), Data Engineering (dlt, dbt), MLOps (MLflow, model serving, drift detection), Infrastructure as Code (Terraform), Cloud Administration (Azure), Python, SQL, Observability/SRE practices
Preferred skills
Financial services domain knowledge, Databricks Unity Catalog administration, Container orchestration (Kubernetes/AKS), Data quality tooling (Great Expectations, Monte Carlo), Responsible AI automation
Technologies
Azure DevOps, Dagster, dlt, dbt, MLflow, Databricks, Terraform, Azure, Python, SQL, Docker, Kubernetes
Responsibilities
Lead CI/CD standards and pipelines for data and ML models; Standardize orchestration on Dagster; Operationalize ingestion and transformation stacks; Build MLOps foundations with the ML engineering team; Establish data and model observability; Administer and govern the Databricks Lakehouse on Azure; Manage infrastructure as code and environments; Own reliability and incident practices; Drive cost visibility and optimization; Automate governance and compliance controls; Provide technical leadership and mentoring
