Cloud Data Platform Engineer

2 hours ago

Base Salary

$137k - $234k/yr

Responsibilities

Design, implement, operate, and improve cloud-based data platform services and infrastructure for enterprise data, analytics, and AI workloads.
Build scalable Lakehouse capabilities supporting structured, semi-structured, and unstructured data.
Develop reusable platform services, onboarding processes, Infrastructure as Code modules, deployment templates, and automation frameworks.
Create and maintain GitHub-based CI/CD pipelines for platform provisioning, application deployment, testing, and operational workflows.
Develop data ingestion, transformation, orchestration, processing, monitoring, and scaling frameworks.
Implement disaster recovery, backup, failover, observability, monitoring, alerting, and operational tooling.
Enforce governance, security, compliance, access control, encryption, audit, metadata management, and data discoverability standards.
Optimize platform performance, scalability, cost, reliability, and resource utilization.
Evaluate emerging cloud data services and collaborate with architects, application teams, data scientists, BI teams, and developers on platform standards and roadmaps.
Mentor junior engineers and contribute to cloud engineering and data development best practices.

Bachelor’s degree in computer science, data engineering, or a related field is required; a master’s degree is preferred.
At least 7 years of experience in data engineering, cloud engineering, or platform engineering is required.
Hands-on experience with Azure or AWS and strong experience with Databricks or Snowflake are required.
Proven DevOps engineering experience, including cloud infrastructure resource creation, data object change management, and Infrastructure as Code, is required.
Experience building data pipelines with Azure Data Factory, Synapse, Apache Airflow, dbt, Kafka, or similar tools is required.
Proficiency with GitHub, GitHub Copilot, Terraform, YAML, Azure DevOps, DevSecOps, CloudFormation, or Pulumi is required.
Programming experience with SQL, Python, YAML, Java, or Scala is required.
Understanding of cloud-native data services such as Azure Synapse, Data Factory, Azure App Services, AWS Redshift, Glue, S3, and Athena is required.
Familiarity with Docker and Kubernetes is required.
Knowledge of FinOps principles and experience operating cloud platforms in regulated environments with governance, audit, security, and compliance requirements are preferred.
Strong problem-solving, communication, and cross-functional collaboration skills are required.

Comprehensive benefits package including 401(k) and pension benefits.
Medical, dental, vision, spending accounts, disability, life, and accident insurance benefits.
Paid time off, parental leave, and caregiver leave.
Additional voluntary and well-being benefits.
Discretionary bonus program that may include an equity component.
Flexible and collaborative work culture with opportunities for internal movement and accessible senior leadership.

501-1,000 employees