Senior Data Engineer (Data Bricks)

Role: Senior Data Engineer (Data Bricks)

Location: Remote

Duration: Long Term

Senior Data Engineer to lead critical platform migration initiatives under tight timelines. This role is ideal for engineers who bring deep expertise in Platform and/or Databricks, with proven experience in setting up scalable, production-ready data platforms from the ground up.

We are looking for professionals who have owned the full lifecycle of complex data systems from architecture and implementation to optimization, troubleshooting, and long-term maintenance.

This is not just a build role; it is for someone who has lived with the systems they designed, understands what works in real-world environments, and has learned from scaling and evolving those systems.

Key Responsibilities

• Design, build, and deploy modern cloud-based data platforms on or Databricks
• Lead platform migration efforts to new environments with aggressive delivery timelines
• Implement and optimize solutions using:
• Terraform
• Dataplex
• BigQuery
• Cloud-native data engineering tools
• Develop scalable ETL/ELT pipelines and robust data architectures
• Drive infrastructure-as-code best practices for cloud resource provisioning
• Collaborate with cross-functional teams to ensure smooth deployment and adoption
• Troubleshoot performance issues and continuously improve platform reliability
• Provide technical leadership and strategic input on platform design decisions

Required Skills & Experience

• 7+ years of experience in Data Engineering / Cloud Data Platforms
• Strong hands-on expertise in or Databricks
• Experience building and migrating enterprise-scale data platforms
• Advanced knowledge of:
• Terraform
• Dataplex
• BigQuery
• Data warehousing / lakehouse concepts
• Strong proficiency in Python / SQL
• Experience with distributed data processing frameworks
• Deep understanding of cloud-native architecture patterns
• Ability to work in fast-paced environments with tight deadlines

What We re Looking For

• Engineers who have built real systems end-to-end
• Professionals who understand the trade-offs of architecture decisions
• Strong ownership mindset with accountability for long-term outcomes
• Opinionated thinkers who can defend decisions, while remaining open to alternative perspectives
• Individuals who learn from what didn t work and apply those lessons forward