data engineer & mlops lead.

JD-

Data Platform & Architecture

• Design and evolve cloud-native data lakes / warehouses (e.g., Snowflake, Databricks, BigQuery).
• Establish scalable batch & streaming pipelines using Spark/Flink, Kafka, Airflow/Dagster, and dbt.
• Implement robust data-quality, catalog, and governance frameworks (e.g., Great Expectations, Unity Catalog).

MLOps & Model Lifecycle

• Build automated CI/CD pipelines for ML (MLflow, Kubeflow, SageMaker, Vertex AI).
• Set up feature stores, model registries, and canary rollout processes.
• Create monitoring & alerting for drift, bias, and performance (Prometheus, Evidently, Arize).

Leadership & Delivery

• Recruit, coach, and promote a high-performing team of data engineers, ML engineers, and DevOps specialists.
• Drive quarterly OKRs, roadmaps, and architectural review boards.
• Manage budgets, vendor contracts, and cloud cost optimization.

Security, Compliance, & Governance

• Enforce IAM, data-encryption, and least-privilege practices.
• Ensure adherence to GDPR, PDPA, HIPAA, or other relevant regulations.
• Champion reproducibility and auditability across data and ML assets. ...