Senior Data Platform Engineer

Role Overview

Core Job Duties

• Administer and tune Databricks workspaces, including Unity Catalog, access controls, service principals, cluster policies, secrets, and cost optimization.
• Administer and tune Snowflake warehouses, roles, RBAC, resource monitors, and secure data sharing.
• Build, monitor, and maintain Fivetran connectors and incremental ingestion pipelines.
• Build, test, and maintain dbt models, tests, and documentation.
• Use Terraform to manage Databricks, Snowflake, and AWS or Azure infrastructure as code.
• Build and maintain CI/CD pipelines, primarily with GitHub Actions.
• Write PySpark and Python code for data processing jobs and internal automation.
• Monitor platform health, troubleshoot issues, and support incident response and root-cause analysis.
• Implement IAM, RBAC, secrets management, and other security controls.
• Support Airflow or equivalent orchestration for data workflows.
• Maintain data visualization tools such as Power BI.
• Contribute to architecture discussions, standards, documentation, runbooks, and troubleshooting guides.

Minimum Qualifications

• A bachelor's degree in computer science, software engineering, information systems, or a related field is required, or equivalent practical experience.
• The role typically requires at least 5 years of hands-on experience in data platform engineering, infrastructure engineering, data engineering, or a related discipline.
• The role requires strong troubleshooting, root-cause analysis, incident response, communication, and cross-functional collaboration skills.
• The engineer must operate effectively within architectural standards while contributing technical judgment to architecture discussions.

Technical Experience

• Deep hands-on experience with Databricks, including Unity Catalog, cluster policies, service principals, secrets management, and cost optimization.
• Deep hands-on experience with Snowflake, including warehouses, roles or RBAC, resource monitors, and secure data sharing.
• Deep experience with Fivetran connectors, incremental ingestion, dbt, and Workato integration workflows.
• Strong experience with CI/CD, GitHub Actions, Terraform, PySpark, and Python.
• Working knowledge of AWS and/or Azure cloud infrastructure and Git-based collaborative development workflows.

Preferred Experience

• Experience with io, Workato, Airflow or equivalent orchestration tools, Hightouch, and monitoring or observability tools is a plus.
• Experience with data analytics, AI or ML development, and modern BI tools such as Power BI, Looker, Mode, Hex, or Tableau is advantageous.
• Experience with experimentation infrastructure and analysis is a nice-to-have qualification.

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